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HomeCompaniesPotomacML Data Engineer (100% On-Site |Contract-to-hire)

ML Data Engineer (100% On-Site |Contract-to-hire)

Potomac · Bethesda, MD, United States · On Site · Active · $120,000–$140,000 / year · Rippling ATS

Job facts

FieldValue
CompanyPotomac
TitleML Data Engineer (100% On-Site |Contract-to-hire)
Normalized title-
Department / teamIT
LocationBethesda, MD, United States
Work modelOn Site
Employment typeContract
Salary$120,000–$140,000 / year
Statusactive
ATS providerRippling ATS
Posted / first seen2026-02-24 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Potomac.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
City jobsActive postings in Bethesda.Open
Department jobsActive postings in IT.Open
Work model jobsActive On Site 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

CompanyPotomac
Source8021b6c5-c7b1-4043-a8cc-b6bf08be9b22
ATS providerRippling ATS

Description

company The Opportunity At Potomac, we’re not for everyone—and that’s by design. We attract people who think critically, communicate clearly, and execute with urgency. People who care deeply about their work and don’t need handholding to make things happen. We’re a boutique tactical asset manager with a differentiated product that serves the independent broker-dealer and RIA channel Headquartered in Bethesda, MD, we combine institutional-grade investment expertise with a quantitative process that is Built to Conquer Risk ®. role Summary Potomac is continuing to invest in modern data and AI capabilities to support our growing business. We are seeking a Machine Learning Data Engineer to join our team and play a critical role in building and scaling our data infrastructure. This role will focus on designing and maintaining data pipelines, enabling machine learning and analytics use cases, and ensuring high-quality, well-governed data is available across the organization. This position will work closely with Operations, Technology, Analytics, and business stakeholders to translate data needs into reliable, production-ready data solutions. Key Responsibilities Design, build, and maintain scalable data pipelines to ingest data from multiple internal and external sources (APIs, SaaS platforms, databases, files). Develop and manage a centralized data lake / lakehouse to standardize and curate data for analytics, reporting, and machine learning use cases. Implement ELT/ETL processes to clean, validate, transform, and model data into trusted datasets. Build and maintain machine-learning–ready datasets and feature pipelines that support experimentation and production models. Ensure data quality, freshness, and reliability through monitoring, alerting, and automated validation checks. Partner with analytics and business teams to define data requirements, metrics, and reporting outputs. Support downstream data consumption for BI tools, dashboards, operational reporting, and partner data exports. Apply best practices around data governance, security, access controls, and documentation. Collaborate cross-functionally to deliver scalable, maintainable data solutions aligned with business priorities. Continuously improve performance, cost efficiency, and reliability of the data platform. Qualifications Required Bachelor’s degree in Computer Science, Data Engineering, Engineering, or a related field (or equivalent experience). 4+ years of experience in data engineering or related roles. Strong proficiency in Python and SQL. Hands-on experience building and operating data pipelines and workflows. Experience with modern data platforms (data lakes, data warehouses, or lakehouse architectures). Familiarity with orchestration tools (e.g., Airflow, Dagster, Prefect) and data transformation frameworks. Solid understanding of data modeling, schema design, and data quality best practices. Experience integrating data from APIs and third-party systems. Strong problem-solving skills and ability to work independently in a fast-paced environment. Excellent communication skills and ability to work with both technical and non-technical stakeholders. Preferred Experience supporting machine learning workflows (feature engineering, training datasets, or ML pipelines). Familiarity with cloud platforms (AWS, Azure, or GCP). Experience with streaming or near–real-time data pipelines. Knowledge of data governance, security, and compliance best practices. Prior experience in financial services, fintech, or regulated data environments. Experience working in a high-growth or startup environment. Potomac is not your typical asset manager. We cut through the industry BS with brutal transparency and an obsession with execution. If you’re looking for a slow pace and low volume, this isn’t for you. If you want to drive, build, and scale, this is your shot. Please note, w e are unable to provide visa sponsorship now or in the future. T his is a contract to hire position. Once hired, full time employees are offered a full suite of benefits.

Full job record

Job ID530c7b6fafd2e0030e47de97f2fe115d3c5f60e3
Org IDcc487d51-21c2-40c3-8343-bfdc696f505f
Source ID8021b6c5-c7b1-4043-a8cc-b6bf08be9b22
Board ID8021b6c5-c7b1-4043-a8cc-b6bf08be9b22
Providerrippling
Provider Job Keyc32cb261-d45d-41ac-aefc-f804c7ef1501
TitleML Data Engineer (100% On-Site |Contract-to-hire)
Normalized Title
Statusactive
Activeyes
Location TextBethesda, MD, United States
DepartmentIT
Team
Employment Typecontract
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionMD
CityBethesda
Salary RawUSD 120000-140000 YEAR
Salary Min120,000
Salary Max140,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://ats.rippling.com/potomac/jobs/c32cb261-d45d-41ac-aefc-f804c7ef1501
Apply URLhttps://ats.rippling.com/potomac/jobs/c32cb261-d45d-41ac-aefc-f804c7ef1501
First Seen At2026-05-29 07:10:17Z
Last Seen At2026-06-06 08:44:40Z
Last Checked At2026-06-06 08:44:40Z
Last Changed At2026-06-06 08:44:40Z
Inactive At
Source Posted At2026-02-24 14:06:53Z
Source Updated At
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      "role": "<meta><h5 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">Summary&nbsp;</strong></b></h5><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Potomac is continuing to invest in modern data and AI capabilities to support our growing business. We are seeking a Machine Learning Data Engineer to join our team and play a critical role in building and scaling our data infrastructure. This role will focus on designing and maintaining data pipelines, enabling machine learning and analytics use cases, and ensuring high-quality, well-governed data is available across the organization.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">This position will work closely with Operations, Technology, Analytics, and business stakeholders to translate data needs into reliable, production-ready data solutions.</span></p><h5 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">Key Responsibilities</strong></b></h5><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=\"font-size:12pt;white-space:pre-wrap;\">Design, build, and maintain scalable data pipelines to ingest data from multiple internal and external sources (APIs, SaaS platforms, databases, files).</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Develop and manage a centralized data lake / lakehouse to standardize and curate data for analytics, reporting, and machine learning use cases.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Implement ELT/ETL processes to clean, validate, transform, and model data into trusted datasets.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Build and maintain machine-learning–ready datasets and feature pipelines that support experimentation and production models.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Ensure data quality, freshness, and reliability through monitoring, alerting, and automated validation checks.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Partner with analytics and business teams to define data requirements, metrics, and reporting outputs.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Support downstream data consumption for BI tools, dashboards, operational reporting, and partner data exports.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Apply best practices around data governance, security, access controls, and documentation.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Collaborate cross-functionally to deliver scalable, maintainable data solutions aligned with business priorities.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Continuously improve performance, cost efficiency, and reliability of the data platform.</span></li></ul><h5 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;padding-left:0px;\"><span style=\"white-space:pre-wrap;\">Qualifications&nbsp;</span></h5><h6 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:13pt;font-weight:600;letter-spacing:0.25px;margin-top:8px;margin-bottom:4px;padding-left:0px;\"><i><b><strong style=\"font-style:italic;white-space:pre-wrap;\">Required</strong></b></i></h6><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=\"font-size:12pt;white-space:pre-wrap;\">Bachelor’s degree in Computer Science, Data Engineering, Engineering, or a related field (or equivalent experience).</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">4+ years of experience in data engineering or related roles.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Strong proficiency in Python and SQL.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Hands-on experience building and operating data pipelines and workflows.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience with modern data platforms (data lakes, data warehouses, or lakehouse architectures).</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Familiarity with orchestration tools (e.g., Airflow, Dagster, Prefect) and data transformation frameworks.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Solid understanding of data modeling, schema design, and data quality best practices.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience integrating data from APIs and third-party systems.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Strong problem-solving skills and ability to work independently in a fast-paced environment.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Excellent communication skills and ability to work with both technical and non-technical stakeholders.</span></li></ul><h6 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:13pt;font-weight:600;letter-spacing:0.25px;margin-top:8px;margin-bottom:4px;padding-left:0px;\"><i><b><strong style=\"font-style:italic;white-space:pre-wrap;\">Preferred</strong></b></i></h6><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=\"font-size:12pt;white-space:pre-wrap;\">Experience supporting machine learning workflows (feature engineering, training datasets, or ML pipelines).</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Familiarity with cloud platforms (AWS, Azure, or GCP).</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience with streaming or near–real-time data pipelines.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Knowledge of data governance, security, and compliance best practices.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Prior experience in financial services, fintech, or regulated data environments.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience working in a high-growth or startup environment.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Potomac is not your typical asset manager. We cut through the industry BS with brutal transparency and an obsession with execution. If&nbsp;you’re&nbsp;looking for a slow pace and low volume, this&nbsp;isn’t&nbsp;for you.&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">If you want to drive, build, and scale, this is your shot.&nbsp;Please note, w</span><span style=\"white-space:pre-wrap;\">e are unable to provide visa sponsorship now or in the future.</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;\"><br></p><h6 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:13pt;font-weight:600;letter-spacing:0.25px;margin-top:8px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">T</strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\">his is a contract to hire position. Once hired, full time employees are offered a full suite of benefits.</span></h6>",
      "company": "<meta><h6 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:13pt;font-weight:600;letter-spacing:0.25px;margin-top:8px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">The Opportunity</strong></b><span style=\"white-space:pre-wrap;\">&nbsp;</span></h6><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;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">At Potomac, we’re not for everyone—and that’s by design. We attract people who think critically, communicate clearly, and execute with urgency. People who care deeply about their work and don’t need handholding to make things happen. &nbsp;</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;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">We’re a</span><span style=\"white-space:pre-wrap;\">&nbsp;</span><span style=\"font-size:12pt;white-space:pre-wrap;\">boutique</span><span style=\"white-space:pre-wrap;\">&nbsp;</span><span style=\"font-size:12pt;white-space:pre-wrap;\">tactical</span><span style=\"white-space:pre-wrap;\">&nbsp;</span><span style=\"font-size:12pt;white-space:pre-wrap;\">asset manager</span><span style=\"white-space:pre-wrap;\">&nbsp;</span><span style=\"font-size:12pt;white-space:pre-wrap;\">with a differentiated product</span><span style=\"white-space:pre-wrap;\">&nbsp;</span><span style=\"font-size:12pt;white-space:pre-wrap;\">that serves</span><span style=\"white-space:pre-wrap;\">&nbsp;</span><span style=\"font-size:12pt;white-space:pre-wrap;\">the</span><span style=\"white-space:pre-wrap;\">&nbsp;</span><span style=\"font-size:12pt;white-space:pre-wrap;\">independent broker-dealer and RIA</span><span style=\"white-space:pre-wrap;\">&nbsp;</span><span style=\"font-size:12pt;white-space:pre-wrap;\">channel&nbsp;&nbsp;</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;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Headquartered in Bethesda, MD, we combine institutional-grade investment expertise with a quantitative process that is Built to Conquer Risk</span><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">®.</strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\"> &nbsp;</span></p>"
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