Senior Data Engineer – Analytics

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Machinify

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $10M Series A - Machinify on 2018-10

Healthcare • Consulting • Logistics

Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.

📋 Description

• Run discovery with business stakeholders and turn needs into buildable acceptance criteria • Model noisy healthcare operational data into certified dimensional models across Databricks bronze-to-silver-to-gold architecture using dbt and SQL • Own governed metric definitions and consolidate business logic into a semantic layer • Build and own Power BI semantic models, dashboards, and paginated reports • Monitor refresh health and semantic-model currency • Own model observability, including freshness and latency detection, statistical anomaly detection, value-drift monitoring, data tests, regression guards, and CI checks • Design and manage dbt Cloud jobs and Airflow DAGs, scheduling, dependencies, and incremental runs • Create design documents, model documentation, a CI-enforced knowledge base, and business-readable handoff materials • Automate recurring work through repeatable, testable, AI-assisted workflows • Collaborate directly with finance, operations, and client-facing teams • Support a governed semantic layer for a healthcare payment integrity business

🎯 Requirements

• 6+ years across analytics engineering, BI engineering, data engineering, or business analysis, with production ownership of the models and metrics built • Expert SQL and strong dimensional modeling instincts • Production dbt experience including models, tests, macros, exposures, documentation, and CI • Hands-on experience with a cloud lakehouse or warehouse • Databricks and Spark SQL preferred; Snowflake, BigQuery, or Redshift transferable • Experience owning a BI semantic layer and reports • Power BI and DAX strongly preferred; Looker/LookML, Tableau, MetricFlow, or Cube as substitutes • Ability to run requirements conversations with non-technical stakeholders and turn vague complaints into testable definitions • Reconciliation-oriented approach to resolving discrepancies • Git and pull-request discipline • Python for API calls, file parsing, statistics, and report generation • Comfort with high autonomy in a fast, async, Slack-first environment • Strong writing skills • E-Verify participation and applicable employment authorization requirements • Bonus: healthcare data experience, including claims (837/835/UB04), DRG and coding review, payment integrity, provider contracts, or revenue cycle • Bonus: data contracts, schema enforcement, ODCS-style governance, and quality gating in CI • Bonus: Databricks Unity Catalog, lineage, and cost/DBU accountability • Bonus: paginated reporting, SharePoint/Excel delivery, or similar business delivery surfaces • Bonus: experience working alongside AI coding agents

🏖️ Benefits

• Work from anywhere in the US • Full Medical/Dental/Vision for employees & their families • Flexible and trusting environment • Unlimited FTO • Competitive salary • Equity • 401(k) including employer match • Meaningful equity • Excellent healthcare • Flexible time off