Home › Companies › Potomac › ML 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
| Field | Value |
|---|---|
| Company | Potomac |
| Title | ML Data Engineer (100% On-Site |Contract-to-hire) |
| Normalized title | - |
| Department / team | IT |
| Location | Bethesda, MD, United States |
| Work model | On Site |
| Employment type | Contract |
| Salary | $120,000–$140,000 / year |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-02-24 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Potomac. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Bethesda. | Open |
| Department jobs | Active postings in IT. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Potomac |
| Source | 8021b6c5-c7b1-4043-a8cc-b6bf08be9b22 |
| ATS provider | Rippling 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
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| Org ID | cc487d51-21c2-40c3-8343-bfdc696f505f |
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| Board ID | 8021b6c5-c7b1-4043-a8cc-b6bf08be9b22 |
| Provider | rippling |
| Provider Job Key | c32cb261-d45d-41ac-aefc-f804c7ef1501 |
| Title | ML Data Engineer (100% On-Site |Contract-to-hire) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Bethesda, MD, United States |
| Department | IT |
| Team | — |
| Employment Type | contract |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | MD |
| City | Bethesda |
| Salary Raw | USD 120000-140000 YEAR |
| Salary Min | 120,000 |
| Salary Max | 140,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://ats.rippling.com/potomac/jobs/c32cb261-d45d-41ac-aefc-f804c7ef1501 |
| Apply URL | https://ats.rippling.com/potomac/jobs/c32cb261-d45d-41ac-aefc-f804c7ef1501 |
| First Seen At | 2026-05-29 07:10:17Z |
| Last Seen At | 2026-06-06 08:44:40Z |
| Last Checked At | 2026-06-06 08:44:40Z |
| Last Changed At | 2026-06-06 08:44:40Z |
| Inactive At | — |
| Source Posted At | 2026-02-24 14:06:53Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=potomac/date=2026-06-06/2026-06-06T08-44-38-974Z-1a9b46e212a1fbb80a2529948fd3513f489ebe35058c75bcd17abc5e9e6c69e0.json |
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Grotesk",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:"Basel Grotesk",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 </span></h5><h6 style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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 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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:"Basel Grotesk",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:"Basel Grotesk",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 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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 you’re looking for a slow pace and low volume, this isn’t for you. </span></p><p style=\"font-family:"Basel Grotesk",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. 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:"Basel Grotesk",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:"Basel Grotesk",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:"Basel Grotesk",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;\"> </span></h6><p style=\"font-family:"Basel Grotesk",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. </span></p><p style=\"font-family:"Basel Grotesk",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;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">boutique</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">tactical</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">asset manager</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">with a differentiated product</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">that serves</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">the</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">independent broker-dealer and RIA</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">channel </span></p><p style=\"font-family:"Basel Grotesk",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;\"> </span></p>"
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