Senior Data Engineer - Analytics

What You'll Do

• Run discovery with business stakeholders. Find the real need behind the request and turn it into acceptance criteria you can build against.
• Model noisy healthcare operational data into certified dimensional models across our Databricks bronze -> silver -> gold architecture in dbt and SQL. Our sources disagree with each other in ways that are interesting rather than trivial. Sorting that out is most of the job.
• Own metric definitions. One measure, one definition, one place, documented so a non-engineer can read it. Today a single operating metric can be re-derived in a dozen models; collapsing that into a governed semantic layer is yours.
• Build and own the visualization layer. Power BI semantic models, dashboards, and paginated reports, including refresh health and semantic-model currency. We want real visualization judgment: the right chart for the question, a hierarchy an executive can read in ten seconds, and a reason for every choice.
• Own observability for your models. Freshness and latency detection, statistical anomaly detection, and value-drift monitoring, plus the data tests, regression guards, and CI checks that keep a defect you just fixed from coming back.
• Own orchestration for what you build. dbt Cloud job design, Airflow DAGs, scheduling, dependency ordering, dependable incremental runs.
• Write it down. Design documents, model documentation, a CI-enforced knowledge base, and business-readable handoff packets, so whoever inherits your work doesn't have to re-derive it.
• Automate the recurring work. We codify repeating work into repeatable, testable, AI-assisted workflows instead of checklists in someone's notes. You should be comfortable directing LLMs and supervising what they produce.

What You Bring

• 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.
• Real visualization talent. You've owned a BI semantic layer and the reports on top of it, not just the tables underneath. Power BI and DAX strongly preferred; Looker/LookML, Tableau, MetricFlow, or Cube are credible substitutes. Bring dashboards you designed and be ready to say what you left out.
• Stakeholder fluency. You can run a requirements conversation with a non-technical owner, turn a vague complaint into a testable definition, explain a data problem as business risk, and tell someone their metric is wrong without losing them.
• 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.
• Python where it's genuinely the right tool (API calls, file parsing, statistics, report generation), and the judgment to reach for SQL where it isn't.
• Comfort with high autonomy in a fast, async, Slack-first environment. You decide inside your lane and inform, rather than queuing decisions for permission.
• Strong writing. Much of your impact is a document, a definition, or a chart someone reads without you in the room.

Bonus points for

• Healthcare data: claims (837/835/UB04), DRG and coding review, payment integrity, provider contracts, or revenue cycle.
• Data contracts, schema enforcement, or ODCS-style governance; quality gating in CI.
• Databricks Unity Catalog, lineage, and cost/DBU accountability.
• Paginated reporting, SharePoint/Excel delivery, or other "the business needs it in exactly this format" surfaces.
• Working alongside AI coding agents and reviewing what they produce against a contract you wrote.

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 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.