Director, Partner Integration (Texas)

Qualified Health
Houston, TXPosted 20 March 2026

Job Description

Transform healthcare with us. Qualified Health is seeking a Director of Partner Integration to own the entire data relationship with some of the most prestigious health systems in the country. As a Director of Partner Integration, you run your own pod: a small, elite team of Senior Data Engineers who build, validate, and operate the data infrastructure that powers AI-driven clinical and operational workflows. Your pipelines don't just move data — they directly enable AI systems that help clinicians make better decisions for their patients. You'll have a Director title because that's what this work requires: executive-level judgment, client relationship ownership, and technical leadership all in one person. This role is onsite in Houston, TX 3 days/week. Key Responsibilities Own the end-to-end data integration for 2-4 health system partners — from initial onboarding through live production operations, with full accountability for delivery timelines and customer satisfaction Lead a pod of 2-3 Senior Data Engineers , mentoring them while delivering against tight customer timelines (initial rollout target: Design and build data pipelines that ingest Epic Clarity data, transform it through FHIR standards, and deliver AI-ready datasets via Delta Lake and Delta Sharing — the foundation for everything the product does Serve as the primary technical relationship owner for your partners' data teams, running orientation calls, scoping sessions, and regular check-ins at the CTO/CMIO level Collaborate with the Product Data Science team to scope new workflow data requirements and ensure pipeline outputs support backtesting, production inference, and evaluation Required Qualifications: 7+ years as a data engineer or engineering leader, with experience building production data pipelines and owning client relationships end-to-end Strong expertise in Epic Clarity/Caboodle data models — you know your way around the clinical tables that power healthcare AI Proficiency with Databricks (PySpark, Delta Lake), SQL Server, and Azure cloud services (ADLS, Key Vault, ADF) Experience with FHIR/HL7 healthcare interoperability standards and data transformation patterns Executive-level client-facing communication — you can present data architecture decisions to a health system CTO, scope a new workflow with a CMIO, and debug a complex SQL query in the same day Data quality obsession — you build validation frameworks and monitoring, not just pipelines. You catch problems before the customer does. Ability to work onsite in Houston, TX 3 days/week Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field Preferred Skills: Experience with healthcare data from multiple EHR vendors (Epic, Cerner, eCW, athenahealth, NextGen) Terraform or infrastructure-as-code experience for tenant provisioning Background in healthcare consulting, EHR implementation, or health system IT Experience with real-time data processing (HL7 feeds, FHIR subscriptions, streaming pipelines) Technical Environment: Our data infrastructure is built on modern cloud technologies including: Azure Databricks + Data Factory (plus Fabric and Snowflake integrations) PySpark for distributed data processing GitHub Actions + Terraform for CI/CD and Infrastructure as Code Python with type-safe patterns and modern frameworks Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas What Success Looks Like: High-quality data pipelines delivered on schedule with thorough testing and documentation Proactive issue identification with technical problems caught and resolved before impacting partners Reusable components that reduce implementation time for subsequent integrations Clean production deployments with minimal post-launch issues Technical credibility with partner IT teams based on quality of work Efficient troubleshooting with quick diagnosis and resolution of data quality issues Impac ... (truncated, view full listing at source)
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