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 their products. The goal is to scale new-client onboarding, improve data quality and governance, and ensure resilient, observable, and cost-effective ELT pipelines to help health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
Requirements
- Strong SQL and data modeling expertise; proven track record building reliable ELT in dbt, Airflow, Snowflake, and Python.
- Hands-on interoperability experience (HL7, FHIR, CCD/C-CDA), EHR extract patterns, and healthcare data normalization.
- Experience at a scale‑up or rapid‑growth technology company.
- Experience leading product implementations and complex client data integrations.
- Certifications: Snowflake (SnowPro), AWS (Data Analytics or Solutions Architect), dbt, or healthcare data (CHDA/RHIA).
- Deep experience with healthcare datasets: clinical, and/or billing/claims; familiarity with HL7/FHIR and interoperability patterns.
- An Operational excellence mindset that integrates SLOs/SLAs, on‑call/incident management, root‑cause analysis, and preventive improvements.
Responsibilities
- 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.
- 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.
Other
- 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.
- Collaborate cross‑functionally (Product, Clinical, Data Science, Engineering) to prioritize roadmaps, land measurable outcomes, and manage tradeoffs.
- 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.
