Engineering Manager – Enterprise Data Warehouse, Analytics

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $220k - $260k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

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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

• Own and evolve the conformed dimensional data model and team standards • Review new models for grain and conformance • Design ETL/ELT pipelines from source systems through bronze, silver, and gold layers on Databricks • Build and maintain incremental loads, data contracts, and Airflow orchestration • Build governed metrics in Unity Catalog metric views and Power BI semantic models • Deliver certified operational KPI models and metrics reconciled to source systems • Own reconciliation, data tests, freshness and anomaly monitoring, SLOs, and CI/CD for data • Lead migration of dbt orchestration from dbt Cloud to Airflow • Partner with Product and business stakeholders on requirements • Own technical architecture, sequencing, estimates, and trade-offs • Manage, coach, and hire analytics engineers and BI analysts • Run sprint execution and establish standards for code review, testing, documentation, and AI-assisted development

🎯 Requirements

• 10+ years in data warehousing, data engineering, or analytics engineering • 3+ years as a hands-on engineering manager • Expert dimensional modeling, including grain, fact types, conformed dimensions, slowly changing dimensions, bridge tables, and bus matrix • Experience building and owning an enterprise warehouse across multiple source systems in production • Expert SQL and dbt, including complex SQL, performance tuning, models, tests, macros, packages, and CI • Production Databricks experience with Spark SQL, Delta Lake, Unity Catalog, and medallion architecture • Experience building governed metrics and semantic layers using Databricks metric views, dbt Semantic Layer/MetricFlow, Cube, or Power BI semantic models • Experience designing and running production ETL/ELT pipelines with incremental loads, snapshots or CDC, and Airflow or similar orchestrator • Python for pipeline work • Data quality experience with testing, reconciliation, observability, and CI/CD for data • Ability to work with Product counterparts and business stakeholders, translate requirements into technical designs, and explain trade-offs in plain language

🏖️ Benefits

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

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