Data Engineering Manager

SmarterDx

Data Engineering Manager guiding data engineering teams at SmarterDx, optimizing healthcare data and integrations. Lead and mentor engineers, overseeing ELT pipelines and client onboarding.

Posted 5/19/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $190,000 - $210,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringSQLdata modelingELTautomationdata quality frameworkstesting frameworksincident managementroot-cause analysispreventive improvements

Soft Skills

leadershipcoachingcommunicationstakeholder managementcollaborationproblem-solvingprioritizationresource allocationclarityalignment