Data Engineer

Med Watchers partners with health plans to improve member outcomes. Good data is central to how we deliver that work.

We're looking for a Data Engineer who can empower our program teams by owning the data pipelines they rely on.

• Owning, maintaining, and improving the production data pipelines behind our client programs
• Diagnosing and resolving pipeline issues, and hardening the systems that cause them
• Turning recurring, high-touch data work into automated processes that run on their own
• Partnering with program teams on client data and reporting needs, and designing systems that reduce those requests over time
• Extending our data validation framework so quality issues surface earlier and more visibly

• 3+ years in a data engineering or similar role, building and maintaining production data pipelines
• Strong experience with building cloud data solutions in AWS
• Strong Python
  , specifically for ETL/ELT work: writing maintainable, testable pipeline code
• Advanced SQL and relational database experience: schema design, data modeling, and query optimization
• Experience with containerization in production using Docker
• Workflow orchestration experience using DAG-based orchestrator tools, like Airflow, Prefect, or Dagster
• Demonstrated data validation / data quality experience: building checks that reject, quarantine, or flag bad data (e.g. Great Expectations, Pandara, dbt tests, or custom frameworks)

• Track record of automating recurring manual work: taking a fragile, high-touch process and driving it toward "set it and forget it"
• Experience working directly with non-technical stakeholders to translate loosely-defined asks into concrete data solutions
• Experience with data cataloging / metadata management / data contracts, using tools like Data Hub and Open Metadata, or having built something similar in-house
• Experience with data observability: instrumenting pipelines so volume, freshness, schema changes, and distribution shifts are tracked and visible over time
• Experience building data lakes that make organizational data easy to query and analyze
• Hands-on experience with document stores like MongoDB
• Experience creating and deploying applications with Kubernetes

$100,000-$150,000

Actual compensation will depend on experience, qualifications, skills, and other job-related factors.

Med Watchers is an Equal Opportunity Employer.