Data Engineering Manager
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Requirements
• 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. • Experience at a scale‑up or rapid‑growth technology company. • Experience leading product implementations and complex client data integrations. • Hands‑on interoperability experience (HL7, FHIR, CCD/C-CDA), EHR extract patterns, and healthcare data normalization. • Certifications: Snowflake (SnowPro), AWS (Data Analytics or Solutions Architect), dbt, or healthcare data (CHDA/RHIA). • Our Tech Stack • Databases: Snowflake (primary), Postgres • Cloud Infrastructure: AWS (CDK, S3, MWAA, EventBridge, Batch, Lambda, Step Functions), FiveTran • Technologies: SQL, dbt, Python
Responsibilities
• 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.
Benefits
• $200,000 - $220,000 base • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan. • Medical, Dental & Vision • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents. • Paid Parental Leave • Remote-First Team – Work from anywhere in the U.S. • Remote-First Team • Unlimited PTO & 10 Holidays – So you can relax and recharge. • Unlimited PTO & 10 Holidays • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match. • 401(k) with Traditional & Roth Options • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters. • Minimal Bureaucracy • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues. • Incredible Teammates!