Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.

Join us in shaping the future of healthcare.

Job Summary: Qualified Health is seeking exceptional data engineers to join our growing team. You'll work at the intersection of healthcare data, cloud infrastructure, and AI—building robust, scalable data pipelines that power our platform. This role requires deep technical expertise in data engineering fundamentals, with opportunities to contribute across customer integrations, data quality and transformation, and platform automation depending on your strengths and interests.

You'll collaborate with health systems and internal teams to deliver reliable healthcare data solutions using cutting-edge technologies.

Key Responsibilities:

• Design, implement, and maintain production-grade data pipelines that process complex healthcare data at scale
• Build ETL/ELT solutions using modern cloud technologies and distributed computing frameworks
• Work with healthcare data standards including FHIR, HL7v2, and EHR-specific formats
• Ensure data quality, reliability, and compliance through comprehensive validation and monitoring
• Collaborate with cross-functional teams, customers, and stakeholders to deliver data solutions
• Debug and optimize pipeline performance in production environments
• Contribute to technical architecture decisions and platform evolution
• Document implementations and communicate technical concepts to varied audiences

Required Qualifications:

Desirable Skills: Healthcare & Integration Expertise

• Direct experience establishing clinical data feeds from Epic, Cerner, eClinicalWorks, or other major EHR systems
• Knowledge of EHR-specific data formats and integration mechanisms (Epic Clarity, Chronicles, etc.)
• Experience with healthcare integration patterns including FHIR APIs, SFTP, Delta Sharing, Fabric External Shares, Snowflake Reader Accounts
• Customer-facing experience managing technical implementations and timelines
• Understanding of HIPAA and HITRUST compliance requirements in data infrastructure

Data Quality & Transformation

• Healthcare data science or analytics background with understanding of clinical data models
• Experience designing sophisticated, configurable transformation logic and validation frameworks
• Expertise in data profiling, quality assessment, and building rule-based quality engines
• Strong instincts for identifying data quality issues and patterns in complex healthcare datasets
• Experience building data pipelines for AI/ML applications

Platform Engineering & Automation

• Advanced experience with PySpark and distributed computing frameworks
• Infrastructure as Code (Terraform, CloudFormation, Pulumi, or similar)
• CI/CD pipeline development using GitHub Actions, Azure DevOps, GitLab, or similar
• Experience building reusable data engineering abstractions, frameworks, and developer tooling
• Production monitoring, alerting, and observability solutions (DataDog, Grafana, Prometheus, or similar)
• Track record establishing operational excellence standards for data systems

Technical Depth

• Deep expertise in Azure cloud services (Databricks, Data Factory, Fabric, ADLS2, networking)
• Experience with modern data warehouse solutions (Snowflake, Databricks, Fabric)
• Real-time data processing and streaming architectures
• Advanced Python patterns for type safety and modern development
• Relevant certifications (Azure Data Engineer, Databricks, Snowflake, etc.)
• Master's degree in Computer Science, Engineering, or related field

Strong candidates will excel in multiple areas above, demonstrating both breadth and depth in their expertise. 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

Impact & Growth Opportunity: As a Senior Data Engineer at Qualified Health, you'll build the data foundation that powers our AI platform's ability to deliver insights to major health systems. You'll have the opportunity to shape our technical architecture and directly impact healthcare delivery, working with cutting-edge technologies in a rapidly growing company. This position offers significant visibility and growth potential as we scale our platform across the healthcare ecosystem.

Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $140,000 and $220,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.