Note: The job is a remote job and is open to candidates in USA. Machinify builds AI-powered software that helps health plans pay claims accurately. The Senior Data Engineer designs, builds, and operates data pipelines and models for payer-facing products, migrates legacy processes to a common platform, and integrates reusable tools for partner teams.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- 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
- Equity
- 401(k) including employer match
Company Overview
Company H1B Sponsorship