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Tech Stack
Tools & technologiesAirflowAWSPythonSQL
About the role
Key responsibilities & impact- Lead, coach, and develop a team of analytics engineers and/or data engineers with a focus on technical excellence, delivery velocity, and collaborative culture.
- Ensure on-time delivery of client data integrations by owning enterprise data model standards and maintaining consistent, governed data definitions.
- Oversee client data pipelines using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to ensure reliable operation and uptime.
- Drive client integration delivery speed by implementing automation, reusable patterns, and clear runbooks to directly optimize client onboarding timelines.
- Establish and enforce SLOs/SLAs, instrument critical paths, and drive incident reduction via proactive monitoring, alerting, and post‑incident reviews.
- Implement comprehensive data quality and testing frameworks (schema, nullability, referential integrity, reconciliation) and lineage observability.
- Collaborate cross‑functionally (Product, Clinical, Data Science, Engineering) to prioritize roadmaps, land measurable outcomes, and manage tradeoffs.
- Manage high-volume client integration requests, triaging and prioritizing tickets based on client impact, urgency, and business value while maintaining clear communication on resolution timelines.
- Own daily operations rhythm including ticket review, resource allocation, escalation management, and stakeholder updates to ensure client integration commitments are met.
- Drive operational metrics and reporting on integration delivery performance, ticket resolution times, and team capacity to identify bottlenecks and improve client outcomes
Requirements
What you’ll need- 7+ years of data engineering experience, including leadership of engineers and outcomes (hiring, mentoring, performance, delivery).
- Deep experience with healthcare datasets: clinical, and/or billing/claims; familiarity with HL7/FHIR and interoperability patterns.
- Strong SQL and data modeling expertise; proven track record building reliable ELT in dbt, Airflow, Snowflake, and Python.
- An Operational excellence mindset that integrates SLOs/SLAs, on‑call/incident management, root‑cause analysis, and preventive improvements.
- Demonstrated ability to accelerate client data onboarding through automation, standardization, and repeatable integration patterns.
- Excellent communication and stakeholder management; comfortable driving clarity and alignment across Product, Clinical, and technical partners.
- Willingness to roll up sleeves and contribute hands‑on to unblock the team.
Benefits
Comp & perks- Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
- Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
- Remote-First Team – Work from anywhere in the U.S.
- Unlimited PTO & 10 Holidays – So you can relax and recharge.
- 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
- Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
- Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringSQLdata modelingELTautomationdata quality frameworkstesting frameworksincident managementroot-cause analysispreventive improvements
Soft Skills
leadershipcoachingcommunicationstakeholder managementcollaborationproblem-solvingprioritizationresource allocationclarityalignment
