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Jr. Data Engineer

Cutsforth · Ferndale, WA · Remote · Active · $84,299–$117,636 / year · JazzHR / ApplyToJob

Job facts

FieldValue
CompanyCutsforth
TitleJr. Data Engineer
Normalized title-
Department / team-
LocationFerndale, WA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary$84,299–$117,636 / year
Statusactive
ATS providerJazzHR / ApplyToJob
Posted / first seen2026-05-20 / 2026-05-30
Changed / last seen2026-06-13 / 2026-06-18

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Company jobsActive postings from Cutsforth.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through JazzHR / ApplyToJob.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Ferndale.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCutsforth
Source85604323-ef5d-480b-81bc-b1acad29ea33
ATS providerJazzHR / ApplyToJob

Description

Role Information: Job Title: Jr. Data Engineer Work Location:  R emote position- Required 1 week of training at our Washington office Employment Type: Full-time Employment Status: Exempt, salaried Visa sponsorship is not available for this position. Must reside in the United States. We are not accepting applicants for remote workers in California, Illinois, and New York at this time. Compensation: $84,299-$117,636- depending on years of experience Role Overview: We're  looking for a skilled and curious  Jr. Data Engineer  to join our team and help shape the future of how we use data to drive real operational outcomes. In this role,  you'll  design and  maintain  scalable data pipelines, develop and deploy AI/ML models, and work cross-functionally to turn complex datasets, including machine health and time-series data — into actionable insights. If you thrive at the intersection of engineering rigor and data science innovation, this  one's  for you. Key Responsibilities: Regularly design, develop, and  maintain data pipelines and ML workflows to support operational and analytical needs Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks Analyze and interpret complex datasets ,  including time-series and machine health data to surface meaningful insights and support decision-making Build,  validate , and  monitor  AI/ML models in production, proactively identifying and resolving performance issues Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams Participate in cross-functional meetings and planning sessions to align  d ata  engineering efforts with broader business goals Stay current with advancements in AI/ML techniques, tools, and industry-specific applications , particularly within power, oil, and gas environments Document processes, models, and systems in a way that supports knowledge sharing and team continuity Required Qualifications: 2-5  years of experience in  d ata  e ngineer ing, data science, or a related technical role   2+  years of hands-on experience with AI/ML modeling, including building and deploying models in production environments   Strong  proficiency  in Python for  d ata  e ngineer ing and machine learning workflows   Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment)  Demonstrated ability to collaborate effectively across cross-functional teams  Bachelor's degree in Computer Science , Data Science, Engineering, Mathematics, or a related field   Preferred Qualifications: Master's degree in a relevant technical discipline  Experience working with machine health datasets and/or condition monitoring applications  Background in the  power, oil, or gas industry  — understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus   Familiarity with time-series data modeling, forecasting, and anomaly detection techniques  Experience with cloud-based ML platforms (Azure) and orchestration tools  Other Qualifications: Successfully pass background check for cybersecurity access requirements. Cybersecurity Role Expectations: Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role. Candidate is expected to maintain a cybersecure work environment. Benefit s: Medical, Vision, Dental Insurance Health Savings Account with Employer contributions 401(k) with Employer match Short-term & Long-term Disability Coverage Accidental Death & Dismemberment Coverage Life Insurance Coverage 80 hours of Paid-Time-Off annually Eight paid holidays per year All other benefits required by applicable law Alignment with Corporate Values All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols. Learn more about Cutsforth here: Cutsforth.com/About Read our Mission & Values here: Cutsforth.com/Values Equal Employment Opportunity Statement: Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause. For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants California Privacy Notice: If you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices. For Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants

Full job record

Job IDbe80b8d2b48fc02fab46c46301ac2f0d07f59495
Org ID585c5a55-9991-4447-a688-ce5b753228ff
Source ID85604323-ef5d-480b-81bc-b1acad29ea33
Board ID85604323-ef5d-480b-81bc-b1acad29ea33
Providerjazzhr
Provider Job KeyrFNvVvTHID
TitleJr. Data Engineer
Normalized Title—
Statusactive
Activeyes
Location TextFerndale, WA
Department—
Team—
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionWA
CityFerndale
Salary RawCompensation: $84,299-$117,636- depending on years of experience Role Overview: We're looking for a skilled an
Salary Min84,299
Salary Max117,636
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://careers.cutsforth.com/apply/rFNvVvTHID/Jr-Data-Engineer
Apply URLhttps://careers.cutsforth.com/apply/rFNvVvTHID/Jr-Data-Engineer
First Seen At2026-05-30 05:55:59Z
Last Seen At2026-06-18 12:03:01Z
Last Checked At2026-06-18 12:03:01Z
Last Changed At2026-06-13 12:11:07Z
Inactive At—
Source Posted At2026-05-20 00:00:00Z
Source Updated At—
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=jazzhr/board=cutsforth/date=2026-06-18/2026-06-18T12-03-01-079Z-c325d72e7b58f46fed5c86692c0bf799011fc2230f9a9e17a7c9666b2407978b.json
Event Fields
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Extensions
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    "heading": "Role Overview: We're  looking for a skilled and curious  Jr. Data Engineer  to join our team and help shape the future of how we use data to drive real operational outcomes. In this role,  you'll  design and  maintain  scalable data pipelines, develop and deploy AI\\/ML models, and work cross-functionally to turn complex datasets, including machine health and time-series data — into actionable insights. If you thrive at the intersection of engineering rigor and data science innovation, this  one's  for you.\n Key Responsibilities: Regularly design, develop, and  maintain data pipelines and ML workflows to support operational and analytical needs Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks Analyze and interpret complex datasets ,  including time-series and machine health data to surface meaningful insights and support decision-making Build,  validate , and  monitor  AI\\/ML models in production, proactively identifying and resolving performance issues Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams Participate in cross-functional meetings and planning sessions to align  d ata  engineering efforts with broader business goals Stay current with advancements in AI\\/ML techniques, tools, and industry-specific applications , particularly within power, oil, and gas environments Document processes, models, and systems in a way that supports knowledge sharing and team continuity Required Qualifications: 2-5  years of experience in  d ata  e ngineer ing, data science, or a related technical role   2+  years of hands-on experience with AI\\/ML modeling, including building and deploying models in production environments   Strong  proficiency  in Python for  d ata  e ngineer ing and machine learning workflows   Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment)  Demonstrated ability to collaborate effectively across cross-functional teams  Bachelor's degree in Computer Science , Data Science, Engineering, Mathematics, or a related field   Preferred Qualifications: Master's degree in a relevant technical discipline  Experience working with machine health datasets and\\/or condition monitoring applications  Background in the  power, oil, or gas industry  — understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus   Familiarity with time-series data modeling, forecasting, and anomaly detection techniques  Experience with cloud-based ML platforms (Azure) and orchestration tools  Other Qualifications: Successfully pass background check for cybersecurity access requirements. 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Further, each employee must read and adhere to corporate policies and safety protocols. \\n\\n \\n\\t Learn more about Cutsforth here: Cutsforth.com\\/About \\n\\t Read our Mission & Values here: Cutsforth.com\\/Values \\n \\n\\n Equal Employment Opportunity Statement: \\n\\n Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. 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    "description_html": "<span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Role Information:</span></u></b></span></span><ul><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Job Title: </span></span></strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Jr. Data Engineer</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Work Location:</strong> R</span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">emote position- Required 1 week of training at our Washington office</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Employment Type:</span></span></strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\"> Full-time</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Employment Status:</strong> </span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Exempt, salaried</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Visa sponsorship is </span><b><span style=\"font-family:Arial, sans-serif;\">not</span></b><span style=\"font-family:Arial, sans-serif;\"> available for this position.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Must reside in the United States.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">We are </span><b><span style=\"font-family:Arial, sans-serif;\">not </span></b><span style=\"font-family:Arial, sans-serif;\">accepting applicants for remote workers in California, Illinois, and New York at this time.</span></span></span></li></ul><div style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Compensation:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">$84,299-$117,636- depending on years of experience</span></span></span></span></li></ul><h1 style=\"text-align:justify;\"><strong><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><u><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Role <span style=\"letter-spacing:-0.1pt;\">Overview:</span></span></span></u></span></span></strong></h1><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">We're</span></span><span><span><span> looking for a skilled and curious </span></span></span><span><span><span>Jr. Data Engineer</span></span></span><span><span><span> to join our team and help shape the future of how we use data to drive real operational outcomes. In this role, </span></span></span><span><span><span>you'll</span></span></span><span><span><span> design and </span></span></span><span><span><span>maintain</span></span></span><span><span><span> scalable data pipelines, develop and deploy AI/ML models, and work cross-functionally to turn complex datasets, including machine health and time-series data — into actionable insights. If you thrive at the intersection of engineering rigor and data science innovation, this </span></span></span><span style=\"border-bottom:transparent;\"><span><span><span><span>one's</span></span></span></span></span><span><span><span> for you.</span></span></span> </span></span><br><br><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Key Responsibilities:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Regularly design, develop, and <span><span><span>maintain data pipelines and ML workflows to support operational and analytical needs</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks</span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Analyze and interpret complex datasets<span><span><span>,</span></span></span><span><span><span> including time-series and machine health data to surface meaningful insights and support decision-making</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Build, <span><span><span>validate</span></span></span><span><span><span>, and </span></span></span><span><span><span>monitor</span></span></span><span><span><span> AI/ML models in production, proactively identifying and resolving performance issues</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams</span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Participate in cross-functional meetings and planning sessions to align <span><span><span>d</span></span></span><span><span><span>ata </span></span></span><span><span><span>engineering efforts with broader business goals</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Stay current with advancements in AI/ML techniques, tools, and industry-specific applications<span><span><span>, particularly within power, oil, and gas environments</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Document processes, models, and systems in a way that supports knowledge sharing and team continuity</span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Required Qualifications:</span></u></b></span></span><ul><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">2-5<span><span><span> years of experience in </span></span></span><span><span><span>d</span></span></span><span><span><span>ata </span></span></span><span><span><span>e</span></span></span><span><span><span>ngineer</span></span></span><span><span><span>ing, data science, or a related technical role</span></span></span> </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">2+<span><span><span> years of hands-on experience with AI/ML modeling, including building and deploying models in production environments</span></span></span> </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Strong <span><span><span>proficiency</span></span></span><span><span><span> in Python for</span></span></span><span><span><span> d</span></span></span><span><span><span>ata </span></span></span><span><span><span>e</span></span></span><span><span><span>ngineer</span></span></span><span><span><span>ing and machine learning workflows</span></span></span> </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment) </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Demonstrated ability to collaborate effectively across cross-functional teams </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Bachelor's degree in Computer Science<span><span><span>, Data Science, Engineering, Mathematics, or a related field</span></span></span> </span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Preferred Qualifications:</span></u></b></span></span><ul><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Master's degree in a relevant technical discipline </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Experience working with machine health datasets and/or condition monitoring applications </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Background in the <b><span><span><span><span><span><span><span>power, oil, or gas industry</span></span></span></span></span></span></span></b><span><span><span><span><span><span><span> — understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus</span></span></span></span></span></span></span> </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Familiarity with time-series data modeling, forecasting, and anomaly detection techniques </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Experience with cloud-based ML platforms (Azure) and orchestration tools </span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Other Qualifications:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Successfully pass background check for cybersecurity access requirements.</span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Cybersecurity Role Expectations:</span></u></b></span></span><ul><li><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.</span></span></li><li><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Candidate is expected to maintain a cybersecure work environment.</span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Benefit</span></u></b><b><u><span style=\"font-family:Arial, sans-serif;\">s:</span></u></b></span></span><ul><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Medical, Vision, Dental Insurance</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Health Savings Account with Employer contributions</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">401(k) with Employer match</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Short-term & Long-term Disability Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Accidental Death & Dismemberment Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Life Insurance Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">80 hours of Paid-Time-Off annually</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Eight paid holidays per year</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">All other benefits required by applicable law</span></span></span></span></li></ul></div><p><strong>Alignment with Corporate Values</strong></p>\n\n<p>All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.</p>\n\n<ul>\n\t<li>Learn more about Cutsforth here: <a href=\\\"https://www.cutsforth.com/about-us/about-cutsforth/\\\">Cutsforth.com/About</a></li>\n\t<li>Read our Mission & Values here: <a href=\\\"https://www.cutsforth.com/about-us/mission-values/\\\">Cutsforth.com/Values</a></li>\n</ul>\n\n<p><strong>Equal Employment Opportunity Statement:</strong></p>\n\n<p>Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.</p>\n\n<p>For Cutsforth's full Equal Employment Opportunity Policy, click here: <a href=\\\"https://www.cutsforth.com/wp-content/uploads/2026/06/2024-Cutsforth-Notice-to-Employees-Applicants.pdf\\\">EEO Notice to Employees & Applicants</a></p>\n\n<p><strong>California Privacy Notice:</strong><br />\nIf you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.<br />\n<br />\nFor Cutsforth's full CCPA Privacy Policy, click here <a href=\\\"https://www.cutsforth.com/wp-content/uploads/2026/06/Cutsforth-LLC-CCPA-Notice-to-Applicants.pdf\\\">CCPA: California Privacy Notice to Applicants</a></p>\n\n<p> </p>",
    "description_text": "Role Information: Job Title: Jr. Data Engineer\n Work Location:  R emote position- Required 1 week of training at our Washington office\n Employment Type: Full-time\n Employment Status: Exempt, salaried\n Visa sponsorship is not available for this position.\n Must reside in the United States.\n We are not accepting applicants for remote workers in California, Illinois, and New York at this time.\n Compensation: $84,299-$117,636- depending on years of experience\n Role Overview:\n We're  looking for a skilled and curious  Jr. Data Engineer  to join our team and help shape the future of how we use data to drive real operational outcomes. In this role,  you'll  design and  maintain  scalable data pipelines, develop and deploy AI/ML models, and work cross-functionally to turn complex datasets, including machine health and time-series data — into actionable insights. If you thrive at the intersection of engineering rigor and data science innovation, this  one's  for you.\n Key Responsibilities: Regularly design, develop, and  maintain data pipelines and ML workflows to support operational and analytical needs\n Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks\n Analyze and interpret complex datasets ,  including time-series and machine health data to surface meaningful insights and support decision-making\n Build,  validate , and  monitor  AI/ML models in production, proactively identifying and resolving performance issues\n Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams\n Participate in cross-functional meetings and planning sessions to align  d ata  engineering efforts with broader business goals\n Stay current with advancements in AI/ML techniques, tools, and industry-specific applications , particularly within power, oil, and gas environments\n Document processes, models, and systems in a way that supports knowledge sharing and team continuity\n Required Qualifications: 2-5  years of experience in  d ata  e ngineer ing, data science, or a related technical role\n 2+  years of hands-on experience with AI/ML modeling, including building and deploying models in production environments\n Strong  proficiency  in Python for  d ata  e ngineer ing and machine learning workflows\n Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment)\n Demonstrated ability to collaborate effectively across cross-functional teams\n Bachelor's degree in Computer Science , Data Science, Engineering, Mathematics, or a related field\n Preferred Qualifications: Master's degree in a relevant technical discipline\n Experience working with machine health datasets and/or condition monitoring applications\n Background in the  power, oil, or gas industry  — understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus\n Familiarity with time-series data modeling, forecasting, and anomaly detection techniques\n Experience with cloud-based ML platforms (Azure) and orchestration tools\n Other Qualifications: Successfully pass background check for cybersecurity access requirements.\n Cybersecurity Role Expectations: Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.\n Candidate is expected to maintain a cybersecure work environment.\n Benefit s: Medical, Vision, Dental Insurance\n Health Savings Account with Employer contributions\n 401(k) with Employer match\n Short-term & Long-term Disability Coverage\n Accidental Death & Dismemberment Coverage\n Life Insurance Coverage\n 80 hours of Paid-Time-Off annually\n Eight paid holidays per year\n All other benefits required by applicable law\n Alignment with Corporate Values\n All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.\n Learn more about Cutsforth here: Cutsforth.com/About\n Read our Mission & Values here: Cutsforth.com/Values\n Equal Employment Opportunity Statement:\n Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.\n For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants\n California Privacy Notice:\nIf you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.\nFor Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants",
    "jsonld_jobposting": {
      "url": "https://careers.cutsforth.com/apply/rFNvVvTHID/Jr-Data-Engineer",
      "@type": "JobPosting",
      "title": "Jr. Data Engineer",
      "@context": "http://schema.org/",
      "datePosted": "2026-05-20",
      "description": "<span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Role Information:</span></u></b></span></span><ul><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Job Title: </span></span></strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Jr. Data Engineer</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Work Location:</strong> R</span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">emote position- Required 1 week of training at our Washington office</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Employment Type:</span></span></strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\"> Full-time</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Employment Status:</strong> </span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Exempt, salaried</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Visa sponsorship is </span><b><span style=\"font-family:Arial, sans-serif;\">not</span></b><span style=\"font-family:Arial, sans-serif;\"> available for this position.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Must reside in the United States.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">We are </span><b><span style=\"font-family:Arial, sans-serif;\">not </span></b><span style=\"font-family:Arial, sans-serif;\">accepting applicants for remote workers in California, Illinois, and New York at this time.</span></span></span></li></ul><div style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Compensation:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">$84,299-$117,636- depending on years of experience</span></span></span></span></li></ul><h1 style=\"text-align:justify;\"><strong><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><u><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Role <span style=\"letter-spacing:-0.1pt;\">Overview:</span></span></span></u></span></span></strong></h1><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">We're</span></span><span><span><span> looking for a skilled and curious </span></span></span><span><span><span>Jr. Data Engineer</span></span></span><span><span><span> to join our team and help shape the future of how we use data to drive real operational outcomes. In this role, </span></span></span><span><span><span>you'll</span></span></span><span><span><span> design and </span></span></span><span><span><span>maintain</span></span></span><span><span><span> scalable data pipelines, develop and deploy AI/ML models, and work cross-functionally to turn complex datasets, including machine health and time-series data — into actionable insights. If you thrive at the intersection of engineering rigor and data science innovation, this </span></span></span><span style=\"border-bottom:transparent;\"><span><span><span><span>one's</span></span></span></span></span><span><span><span> for you.</span></span></span> </span></span><br><br><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Key Responsibilities:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Regularly design, develop, and <span><span><span>maintain data pipelines and ML workflows to support operational and analytical needs</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks</span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Analyze and interpret complex datasets<span><span><span>,</span></span></span><span><span><span> including time-series and machine health data to surface meaningful insights and support decision-making</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Build, <span><span><span>validate</span></span></span><span><span><span>, and </span></span></span><span><span><span>monitor</span></span></span><span><span><span> AI/ML models in production, proactively identifying and resolving performance issues</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams</span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Participate in cross-functional meetings and planning sessions to align <span><span><span>d</span></span></span><span><span><span>ata </span></span></span><span><span><span>engineering efforts with broader business goals</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Stay current with advancements in AI/ML techniques, tools, and industry-specific applications<span><span><span>, particularly within power, oil, and gas environments</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Document processes, models, and systems in a way that supports knowledge sharing and team continuity</span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Required Qualifications:</span></u></b></span></span><ul><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">2-5<span><span><span> years of experience in </span></span></span><span><span><span>d</span></span></span><span><span><span>ata </span></span></span><span><span><span>e</span></span></span><span><span><span>ngineer</span></span></span><span><span><span>ing, data science, or a related technical role</span></span></span> </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">2+<span><span><span> years of hands-on experience with AI/ML modeling, including building and deploying models in production environments</span></span></span> </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Strong <span><span><span>proficiency</span></span></span><span><span><span> in Python for</span></span></span><span><span><span> d</span></span></span><span><span><span>ata </span></span></span><span><span><span>e</span></span></span><span><span><span>ngineer</span></span></span><span><span><span>ing and machine learning workflows</span></span></span> </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment) </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Demonstrated ability to collaborate effectively across cross-functional teams </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Bachelor's degree in Computer Science<span><span><span>, Data Science, Engineering, Mathematics, or a related field</span></span></span> </span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Preferred Qualifications:</span></u></b></span></span><ul><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Master's degree in a relevant technical discipline </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Experience working with machine health datasets and/or condition monitoring applications </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Background in the <b><span><span><span><span><span><span><span>power, oil, or gas industry</span></span></span></span></span></span></span></b><span><span><span><span><span><span><span> — understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus</span></span></span></span></span></span></span> </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Familiarity with time-series data modeling, forecasting, and anomaly detection techniques </span></span></span></li><li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"vertical-align:baseline;\">Experience with cloud-based ML platforms (Azure) and orchestration tools </span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Other Qualifications:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Successfully pass background check for cybersecurity access requirements.</span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Cybersecurity Role Expectations:</span></u></b></span></span><ul><li><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.</span></span></li><li><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Candidate is expected to maintain a cybersecure work environment.</span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Benefit</span></u></b><b><u><span style=\"font-family:Arial, sans-serif;\">s:</span></u></b></span></span><ul><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Medical, Vision, Dental Insurance</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Health Savings Account with Employer contributions</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">401(k) with Employer match</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Short-term & Long-term Disability Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Accidental Death & Dismemberment Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Life Insurance Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">80 hours of Paid-Time-Off annually</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">Eight paid holidays per year</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:16px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"color:#000000;\">All other benefits required by applicable law</span></span></span></span></li></ul></div><p><strong>Alignment with Corporate Values</strong></p>\n\n<p>All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.</p>\n\n<ul>\n\t<li>Learn more about Cutsforth here: <a href=\\\"https://www.cutsforth.com/about-us/about-cutsforth/\\\">Cutsforth.com/About</a></li>\n\t<li>Read our Mission & Values here: <a href=\\\"https://www.cutsforth.com/about-us/mission-values/\\\">Cutsforth.com/Values</a></li>\n</ul>\n\n<p><strong>Equal Employment Opportunity Statement:</strong></p>\n\n<p>Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.</p>\n\n<p>For Cutsforth's full Equal Employment Opportunity Policy, click here: <a href=\\\"https://www.cutsforth.com/wp-content/uploads/2026/06/2024-Cutsforth-Notice-to-Employees-Applicants.pdf\\\">EEO Notice to Employees & Applicants</a></p>\n\n<p><strong>California Privacy Notice:</strong><br />\nIf you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.<br />\n<br />\nFor Cutsforth's full CCPA Privacy Policy, click here <a href=\\\"https://www.cutsforth.com/wp-content/uploads/2026/06/Cutsforth-LLC-CCPA-Notice-to-Applicants.pdf\\\">CCPA: California Privacy Notice to Applicants</a></p>\n\n<p> </p>",
      "jobLocation": {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "",
          "addressRegion": "WA",
          "addressLocality": "Ferndale"
        }
      },
      "validThrough": "2026-08-18",
      "uniqueJobCode": "job_20260520140224_MOREHGWXEACHEET4",
      "employmentType": "FULL_TIME",
      "jobLocationType": "TELECOMMUTE",
      "hiringOrganization": {
        "logo": "https://s3.amazonaws.com/resumator/customer_20230302164200_ABVEFWFPU83AGJKY/logos/20260612192019_CUTSFORTH_No_Tagline_Default_10.png",
        "name": "Cutsforth, LLC",
        "@type": "Organization",
        "sameAs": "https://www.cutsforth.com/"
      },
      "experienceRequirements": "Mid Level",
      "applicantLocationRequirements": {
        "name": "US",
        "@type": "Country"
      }
    }
  },
  "list_job": {
    "id": "rFNvVvTHID",
    "title": "Jr. Data Engineer",
    "detailUrl": "https://cutsforth.applytojob.com/apply/jobs/details/rFNvVvTHID?&"
  },
  "detail_errors": []
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/be80b8d2b48fc02fab46c46301ac2f0d07f59495?include=descriptionJSON
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