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Potomac Fund Management ML Data Engineer

Expert In Recruitment Solutions

  • Bethesda, MD
  • 5 days ago

    Highlights

    Specific Outcome This Position Will Produce: The specific outcome is to build a centralized, reliable, and AI-ready data infrastructure that ensures clean, automated, and trustworthy data flows across Potomac's systems to power their machine learning models and investment decisions. Typical Day-to-Day: Building and maintaining data pipelines, pulling data in from APIs, trading platforms, SaaS tools, and databases automatically.

    Numbers & Facts

    LocationBethesda, MD

    Description

    Required - Top 3:
    1. Python & SQL – this is the technical foundation of everything
    2. Data Pipeline & ETL/ELT experience
    3. Modern Data Platform experience – Data lakes, Data Warehouse or Lakehouse Architecture

    Specific Outcome This Position Will Produce: The specific outcome is to build a centralized, reliable, and AI-ready data infrastructure that ensures clean, automated, and trustworthy data flows across Potomac's systems to power their machine learning models and investment decisions.

    Typical Day-to-Day:
    • Building and maintaining data pipelines, pulling data in from APIs, trading platforms, SaaS tools, and databases automatically
    • Cleaning and transforming data, making raw messy data reliable and usable through ETL/ELT processes
    • Managing the data lake/lakehouse, maintaining the central repository where all company data lives
    • Building ML-ready datasets, preparing clean structured data so machine learning models can run against it
    • Monitoring data quality, setting up alerts and automated checks to catch data issues before they cause problems
    • Collaborating with analytics and business teams, translating what the business needs into data solutions
    • Supporting BI dashboards and reporting, making sure downstream tools like Power BI or Tableau have reliable data feeding them
    • Improving the platform, continuously optimizing pipelines for speed, cost, and reliability

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