Director of Data Engineering, Healthcare
The position of Director of Data Engineering, Healthcare is currently being managed by a partner company on behalf of a high-impact technical leadership role. This role is based in the United States and involves owning the vision and execution of scalable data platforms that power analytics, reporting, personalization, and outcomes measurement for high-need patient populations. It requires blending hands-on technical depth with strategic leadership, guiding a high-performing engineering team while shaping enterprise-grade data architecture.
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.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!
Data Privacy Notice
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.