Senior Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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This company has sponsored H1B visas in the past.

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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

• Design, build, and operate reliable, automated data pipelines for health plan data • Model complex healthcare data into canonical and analytical models • Migrate legacy processes, pipelines, and models into a common platform while preserving existing logic and behavior • Extend and integrate tools and workflows for adoption by other teams • Implement data quality and software engineering practices, including validation, automated testing, code review, and CI/CD • Document engineering work and critically review AI-generated work • Own pipelines end to end, including ingestion, modeling, quality, deployment, and day-to-day operations • Support decision-making and claims payment outcomes • Partner with ML, Product, Analytics, Platform, Operations, and Customer teams • Drive the lifecycle of core datasets powering the platform • Contribute to customer onboarding and data integration

🎯 Requirements

• 5+ years in data engineering, including production ownership of built pipelines • Strong SQL and Python • Strong data modeling, including canonical and dimensional design, conflicting sources, history, and adjustments • Production dbt and workflow orchestration (Airflow or similar) • Expertise with Snowflake and/or Databricks • Spark SQL experience • Data quality and CI/CD practices, including validation, reconciliation, pull requests, automated tests, and deployment automation • Ability to take broad, loosely defined problems end to end across ingestion, modeling, infrastructure, APIs, and operations, including incident response • Ability to onboard a new data source from discovery to delivery • Record of extending or integrating existing tools and building things other teams use • Ability to learn complex domains quickly and verify AI-generated code and abstractions against ground truth • Understanding of how to leverage AI in development and automation, including efficiency and potential risk

🏖️ Benefits

• Work from anywhere in the US; digital-first environment • 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 • Other benefits and perks

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