Quick Summary
validation, automated testing, code review, CI/CD.
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
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.
Responsibilities
~1 min read- →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.
Nice to Have
~3 min read- 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.
🌱 Why Join Us
- 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
- 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.
Location & Eligibility
About this job
- Pay per year
- $180,000–$220,000 a year
- 26% above the $159,120 median for Data Engineer jobs on Jobera (686 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- November 3, 2026
- First seen
- November 3, 2026
- Last seen
- November 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 80%
- Scored at
- November 3, 2026
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