DataJobs
RoleSuite
CompaniesRemoteAboutMethodologyContactPrivacy
Updated 2026-07-03 17:00 UTC·© 2025–2026 RoleSuite
← Back to listings

Director of Data Engineering, Healthcare

Jobgether · US

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director of Data Engineering, Healthcare based in the United States.

This is a high-impact technical leadership role at the intersection of healthcare, data systems, and population health outcomes. You will own the vision and execution of scalable data platforms that power analytics, reporting, personalization, and outcomes measurement for high-need patient populations. The role blends hands-on technical depth with strategic leadership, requiring you to guide a high-performing engineering team while shaping enterprise-grade data architecture. You will partner closely with product, clinical, customer success, and executive stakeholders to ensure data systems directly translate into measurable health improvements. The environment is mission-driven, fast-moving, and deeply collaborative, with a strong focus on using data to improve real-world patient outcomes. This is an opportunity to build systems that not only scale technically, but also meaningfully improve lives across underserved communities.

Accountabilities:

  • Own the vision, roadmap, and execution of the healthcare data platform, including ingestion, warehousing, transformation, analytics, and reporting systems that power core product and business functions.
  • Lead and grow a high-performing team of data engineers, providing technical direction, coaching, and performance management.
  • Design and implement scalable data product capabilities, including outcomes reporting, personalization systems, and customer-facing analytics.
  • Drive the development of next-generation attributed outcomes reporting that supports customer expansion and demonstrates measurable healthcare impact.
  • Ensure high data quality standards across the entire data lifecycle, including integration of complex third-party and partner datasets.
  • Partner cross-functionally with product, engineering, sales, and customer success teams to align data initiatives with business and clinical goals.
  • Strengthen data privacy, security, and compliance practices, ensuring adherence to healthcare standards such as HITRUST.
  • Requirements:

    • 8+ years of experience in data engineering or data platform roles, including at least 8 years in people management and 5+ years leading data engineering teams.
    • Strong hands-on technical capability with willingness to stay close to systems and architecture when needed.
    • Deep healthcare data experience (5+ years), including exposure to claims, eligibility, labs, PBM data, HEDIS exports, or similar healthcare datasets.
    • Proven track record of building, scaling, and operating production-grade data systems in complex environments.
    • Strong experience in data analytics, reporting, and translating data into actionable business insights.
    • Expertise in data strategy, governance, reliability, and operational excellence in production systems.
    • Strong communication skills with ability to engage effectively across executives, technical teams, and non-technical stakeholders.
    • Proficiency with modern data stack tools such as SQL, Python, dbt, Redshift, Fivetran, Airflow, Postgres, and AWS.
    • Strong understanding of data privacy, security, and compliance practices in regulated environments.
    • Benefits:

      • Competitive base salary ranging from $190,000 to $230,000 plus equity.
      • Comprehensive health coverage including medical, dental, vision, and FSA/HSA options.
      • Generous paid time off and parental leave policies.
      • Flexible, remote-first work environment with optional access to in-person collaboration spaces.
      • Equity participation in a mission-driven, high-growth healthcare organization.
      • Opportunity to directly impact health outcomes for underserved populations at scale.
      • Collaborative and highly mission-focused team culture with strong executive support.

Data & ML pay context

Based on 1,533 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $203K (10th–90th percentile: $103K–$244K).

This posting lists $190K–$230K, above the $162K market median.

See the full Data & ML salary breakdown →
Apply →

Other roles at Jobgether

  • Senior ML Operations (MLOps) EngineerUS
  • Security Engineer, Product SecurityUS
  • Sr. Manager, Growth MarketingUS
  • VP, Payor PartnershipsUS
  • Telecom Observability EngineerUS
  • Assistant Controller, People LeaderUS
  • Director, Policy and Business DevelopmentUS
  • Technical Representative NSWAustralia
  • Sr. People Operations ManagerUS
  • Operations Senior Manager, AIUS

More Data & ML roles

  • Data EngineerSkimmer · Remote
  • Senior Data EngineerRoku · Austin, Texas
  • Senior Data EngineerRoku · San Jose, California
  • DATA ENGINEER IIInter · Belo Horizonte, MG
  • Analytics Engineer - US Cards Lendable · London
  • AI Data Engineer Mid/SeniorCiandt · Brazil / Campinas, SP
  • Staff Applied Scientist - Knowledge Graphs & AIOutreach · Hyderabad
  • Senior Applied Scientist - Knowledge Graphs & AIOutreach · Hyderabad
  • Senior Data EngineerTruecaller · Stockholm, Sweden
  • Data EngineerTruecaller · Stockholm, Sweden