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Data Engineer

Urban SDK · Remote (United States), United States · Remote · Active · Rippling ATS

Job facts

FieldValue
CompanyUrban SDK
TitleData Engineer
Normalized title-
Department / teamR&D
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerRippling ATS
Posted / first seen2026-01-07 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Urban SDK.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Rippling ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in R&D.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

CompanyUrban SDK
Source9d0c91df-dcef-4128-9f1c-d27d3d306737
ATS providerRippling ATS

Description

company About Urban SDK Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence. Our Commitment to People We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work. role About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering practices, including automated testing, CI/CD, and data quality monitoring. Responsibilities Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms. Manage large-scale geospatial and temporal datasets stored in AWS S3. Collaborate with data scientists to productionize machine learning models and ensure smooth data availability. Implement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability. Optimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently. Develop and maintain documentation for data workflows, architecture, and processes. Work closely with cross-functional teams to understand data requirements and ensure timely delivery. Stay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 3+ years of experience as a data engineer or in a similar role. Strong proficiency in Python and associated libraries for data engineering (pandas, PySpark, etc.). Hands-on experience with Databricks and Spark for large-scale data processing. Experience with AWS services, especially S3, and knowledge of cloud-based data architectures. Solid understanding of data pipeline testing, version control, and CI/CD practices. Experience with SQL and NoSQL databases. Strong problem-solving skills and attention to detail. Preferred Skills Familiarity with geospatial data formats and processing (GeoJSON, Shapefiles, PostGIS). Experience with workflow orchestration tools (Databricks, Prefect, or similar). Knowledge of containerization (Docker/Kubernetes) and cloud-native data solutions. Experience supporting machine learning pipelines in production. Compensation Location: Jacksonville, FL (Town Center Area) or Remote Type: Full-time Reports to: Director of Engineering Salary Based on Experience Annual Bonus Medical, Vision, Dental, 401(k) 21 Days Vacation Office Lunch provided Daily

Full job record

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Org ID1bfb703a-200d-45ae-93d3-7cb0d1da3051
Source ID9d0c91df-dcef-4128-9f1c-d27d3d306737
Board ID9d0c91df-dcef-4128-9f1c-d27d3d306737
Providerrippling
Provider Job Keyfea692c7-df70-4a9e-a9a9-ceb627ab3647
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote (United States), United States
DepartmentR&D
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
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Salary Raw
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Source URLhttps://ats.rippling.com/urban-sdk/jobs/fea692c7-df70-4a9e-a9a9-ceb627ab3647
Apply URLhttps://ats.rippling.com/urban-sdk/jobs/fea692c7-df70-4a9e-a9a9-ceb627ab3647
First Seen At2026-05-29 07:17:11Z
Last Seen At2026-06-06 08:44:56Z
Last Checked At2026-06-06 08:44:56Z
Last Changed At2026-06-06 08:44:56Z
Inactive At
Source Posted At2026-01-07 20:35:57Z
Source Updated At
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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About the role</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering practices, including automated testing, CI/CD, and data quality monitoring.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Responsibilities</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Manage large-scale geospatial and temporal datasets stored in AWS S3.</span></li><li style=\"font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Collaborate with data scientists to productionize machine learning models and ensure smooth data availability.</span></li><li style=\"font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Implement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability.</span></li><li style=\"font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Optimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently.</span></li><li style=\"font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Develop and maintain documentation for data workflows, architecture, and processes.</span></li><li style=\"font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Work closely with cross-functional teams to understand data requirements and ensure timely delivery.</span></li><li style=\"font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Stay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Qualifications</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">3+ years of experience as a data engineer or in a similar role.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Strong proficiency in Python and associated libraries for data engineering (pandas, PySpark, etc.).</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Hands-on experience with Databricks and Spark for large-scale data processing.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Experience with AWS services, especially S3, and knowledge of cloud-based data architectures.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Solid understanding of data pipeline testing, version control, and CI/CD practices.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Experience with SQL and NoSQL databases.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Strong problem-solving skills and attention to detail.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Preferred Skills</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Familiarity with geospatial data formats and processing (GeoJSON, Shapefiles, PostGIS).</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Experience with workflow orchestration tools (Databricks, Prefect, or similar).</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Knowledge of containerization (Docker/Kubernetes) and cloud-native data solutions.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Experience supporting machine learning pipelines in production.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Compensation</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Location: Jacksonville, FL (Town Center Area) or Remote</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Type:&nbsp; Full-time</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Reports to: Director of Engineering</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Salary Based on Experience&nbsp;</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Annual Bonus</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Medical, Vision, Dental, 401(k)&nbsp;&nbsp;</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">21 Days Vacation</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Office Lunch provided Daily</span></li></ul>",
      "company": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About Urban SDK</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence. </span></p><h4 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:18pt;font-weight:600;letter-spacing:0px;margin-top:12px;margin-bottom:4px;padding-left:0px;\"><span style=\"white-space:pre-wrap;\">Our Commitment to People</span></h4><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:18pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>"
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      },
      "additionalQuestions": null
    },
    "hasAIEvaluationsEnabled": false,
    "eeocQuestionnaireEnabled": true,
    "applicationConfirmationTemplate": "6952c77b3928888a5b958dc1",
    "eeocQuestionnaireEnabledForJobPost": true
  },
  "detail_meta": {
    "url": "https://ats.rippling.com/api/v2/board/urban-sdk/jobs/fea692c7-df70-4a9e-a9a9-ceb627ab3647",
    "http_status": 200,
    "content_type": "application/json",
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}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/3a0fea9c14d6ac4f0a38020346fa05d77ef26979?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/1bfb703a-200d-45ae-93d3-7cb0d1da3051JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/9d0c91df-dcef-4128-9f1c-d27d3d306737JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/3a0fea9c14d6ac4f0a38020346fa05d77ef26979/eventsJSON