Data Engineering Manager

7+ years of data engineering experience, including leadership of engineers and outcomes. 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. Willingness to roll up sleeves and contribute hands-on to unblock the team.

Lead, coach, and develop a team of analytics engineers and/or data engineers. Ensure on-time delivery of client data integrations by owning enterprise data model standards. Oversee client data pipelines using dbt, Airflow, Snowflake, AWS, Python. Drive client integration delivery speed by implementing automation and reusable patterns. Establish and enforce SLOs/SLAs and drive incident reduction via proactive monitoring. Implement comprehensive data quality and testing frameworks. Collaborate cross-functionally to prioritize roadmaps and manage tradeoffs. Manage high-volume client integration requests, triaging and prioritizing tickets. Own daily operations rhythm including ticket review, resource allocation, and stakeholder updates. Drive operational metrics and reporting on integration delivery performance.