Machinify builds AI-powered software that helps health plans pay claims accurately. As a
Senior Data Engineer, you will design, build and run the data pipelines and models behind our payer-facing products, and help bring legacy data processes over into a common platform. You'll extend and integrate tooling along the way so the results can be reused by partner teams, not just our own.
This is a broad engineering role. You'll own pipelines end to end: ingestion, modeling, quality, deployment and day-to-day operations, in an AI-assisted engineering environment.
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.
- Real impact - your pipelines will directly support decision-making and claims payment outcomes from day one.
- High visibility - partner with ML, Product, Analytics, Platform, Operations, and Customer teams on critical data initiatives.
- Total ownership - you'll drive the lifecycle of core datasets powering our platform.
Customer-facing impact - you will directly contribute to successful customer onboarding and data integration.
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
- 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.
