Backed by Battery and GV.
About the role
As a Senior Data Engineer , you’ll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions. You’ll work closely with product managers, data scientists, subject matter experts, engineers, and customer teams to build, scale, and refine production pipelines — ensuring data is accurate, observable, and actionable.
What they're looking for
- Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON)
- Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models
- Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance
- Onboard new customers by integrating their raw data into internal pipelines and canonical models, collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting
- Build resilient, idempotent transformation logic with data quality checks, validation layers, and observability
- Refactor and scale existing pipelines to meet growing data and business needs
More about this role
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.
As a Senior Data Engineer , you’ll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions. You’ll work closely with product managers, data scientists, subject matter experts, engineers, and customer teams to build, scale, and refine production pipelines — ensuring data is accurate, observable, and actionable.
You’ll also play a critical role in onboarding new customers , integrating their raw data into our internal models . Your pipelines will directly power the company’s ML models, dashboards, and core...
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