SmarterDx · 4 hours ago
Data Engineering Manager
SmarterDx is a clinical AI company transforming how hospitals translate care into payment. They are seeking a Manager of Data Engineering, Integrations to lead a high-performing data engineering team responsible for ingesting and operationalizing healthcare data across their products while collaborating with various departments to ensure data quality and integration efficiency.
Artificial Intelligence (AI)Health CareHospitalInformation Technology
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
Qualification
Required
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
Preferred
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)
Benefits
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.
Company
SmarterDx
SmarterDx is a clinical AI company that develops automated pre-bill review technology to assist hospitals in analyzing patient discharges.
Funding
Current Stage
Growth StageTotal Funding
$55.97MKey Investors
New Mountain CapitalTransformation Capital
2025-04-14Private Equity
2025-04-14Acquired
2024-05-14Series B· $50M
Recent News
2025-10-24
Business Insider
2025-10-23
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2025-10-23
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