Data Engineering Manager, SmarterDx

• 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

Desirable

• SmarterDx is seeking a Manager of Data Engineering, Integrations to lead and grow a high‑performing data engineering team responsible for ingesting, harmonizing, and operationalizing healthcare data (EHR, clinical, and claims) across our products
• You will scale new‑client onboarding, raise the bar on data quality and governance, and ensure resilient, observable, and cost‑effective ELT pipelines
• You will set clear objectives, mentor engineers, and partner closely with Product, Clinical, Data Science, and Engineering to deliver durable outcomes
• 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
• Our Tech Stack:
• Databases: Snowflake (primary), Postgres
• Cloud Infrastructure: AWS (CDK, S3, MWAA, EventBridge, Batch, Lambda, Step Functions), FiveTran
• Technologies: SQL, dbt, Python