Backed by Battery and GV.
About the role
As a Senior Data Engineer (Analytics) you own the layer where messy operational data becomes a number a business leader will act on. You’ll sit with the people who run our business, learn how the work actually happens, and turn that into certified models, metric definitions that survive scrutiny, and reports people use. Our analytics warehouse unifies four platforms into one measurement model across dozens of unique client workflows.
What they're looking for
- 6+ years across analytics engineering, BI engineering, data engineering, or business analysis, with production ownership of the models and metrics you built
- Expert SQL and strong dimensional modeling instincts. You spot a grain mismatch in someone else’s model before you run it
- Production dbt: models, tests, macros, exposures, documentation, and CI. You have opinions about project structure and can defend them
- Hands-on with a cloud lakehouse or warehouse. Databricks and Spark SQL preferred, Snowflake, BigQuery, or Redshift transfer well
- A reconciliation reflex. When two numbers disagree you don’t average them, escalate them, or trust the newer one. You find out why
- Git and pull-request discipline as normal practice rather than overhead
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 (Analytics) you own the layer where messy operational data becomes a number a business leader will act on. You’ll sit with the people who run our business, learn how the work actually happens, and turn that into certified models, metric definitions that survive scrutiny, and reports people use. Our analytics warehouse unifies four platforms into one measurement model across dozens of unique client workflows.
This is a data modeling and measurement enabling role more than a pipeline development role, though such skills will be helpful. Expect real time on...
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