Senior Data Engineer

What You'll Do

• Design, build and operate reliable, automated data pipelines for health plan data.
• Model complex, messy healthcare data into clear, trustworthy canonical and analytical models.
• Bring legacy processes, pipelines and models over into a common platform, preserving the logic and behavior that already work.
• Extend and integrate tools and workflows so other teams can adopt them.
• Build in data quality and software engineering discipline: validation, automated testing, code review, CI/CD.
• Document what you build and review AI-generated work critically.

What You Bring

• 5+ years in data engineering, including production ownership of the pipelines you built.
• Strong SQL and Python.
• Strong data modeling: canonical and dimensional design, conflicting sources, history, adjustments. You can explain why a model is shaped the way it is.
• Production dbt and workflow orchestration (Airflow or similar).
• Expertise with Snowflake and/or Databricks, Spark SQL experience
• Data quality and CI/CD practices applied to data: validation and reconciliation, pull requests, automated tests, deployment automation.
• Generalist range: you can take a broad, loosely defined problem and run it end to end across ingestion, modeling, infrastructure, APIs and operations, including incident response, and you onboard a new data source from discovery to delivery.
• A record of extending or integrating existing tools and building things other teams use.
• Quick, deep learning of complex domains: you ask why the data looks the way it does, and you verify AI-generated code and abstractions against ground truth.
• Good intuition on how to leverage AI in development and automation in day-to-day engineering practices, understands how to leverage AI as a force multiplier for efficiency, and potential risk

Strongly Preferred

• Payment integrity experience, especially coordination of benefits and third-party liability (COB/TPL), cost avoidance, and Medicare Secondary Payer (MSP). Related areas such as post-pay audit, subrogation, overpayment recovery and claims editing are also of interest.
• Healthcare claims data experience (837/835/UB-04, eligibility, member and provider data, DRG).
• Experience building your own AI skills, MCP tools, and plugins
• Large-scale batch file ingestion (SFTP and cloud storage, EDI X12, fixed-width, CSV/Parquet) and schema drift handling.
• Automation: GitHub Actions, infrastructure-as-code, and turning recurring data operations into tested, repeatable workflows.
• experience with Scala
• Strong AWS experience.
• BI exposure, such as semantic or cube modeling.
• AI engineering: building your own agent tools, MCP servers, skills or plugins.
• Spark performance tuning, data contracts and schema governance, HIPAA/PHI handling.

What We Offer

• Work from anywhere in the US! Machinify is digital-first.
• Full Medical/Dental/Vision for employees & their families
• Flexible and trusting environment where you'll feel empowered to do your best work
• Unlimited FTO
• Competitive salary, equity, 401(k) including employer match

The base salary range for this role is $180,000 - $220,000.

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.