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. The pay range for this role is between $130,000 and $180,000, 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.
Senior Data Engineer
Location
United States
Posted
2 days ago
Salary
$155K - $190K / year
Job Description
Role Description
Qualified Health is seeking a Data Engineer to support partner integration. This isn't a role where you'll maintain legacy systems or write reports nobody reads. You'll build the data pipelines that directly power AI systems used by clinicians across major U.S. health systems — systems that help doctors identify the right diagnosis, flag patients who need intervention, and improve outcomes at scale. Every query you write, every pipeline you build, directly touches patient care. You'll work in a pod with a Director who owns the customer relationship and 1-2 peers who share the mission. The path from Senior Data Engineer to Director of your own pod is clear and real — we're growing fast enough that the opportunity is a matter of when, not if.
Key Responsibilities
- Build and maintain data ingestion pipelines that pull from Epic Clarity databases, FHIR APIs, and HL7 feeds into our Databricks lakehouse architecture.
- Execute data quality validation and mapping verification for each new workflow deployment.
- Support 2-4 health system partners as part of a dedicated integration pod.
- Develop and optimize SQL queries against complex healthcare data models.
- Contribute to defining reusable data transformation patterns that accelerate future partner onboarding.
Qualifications
- 4+ years as a data engineer building production ETL/ELT pipelines.
- Strong SQL skills (complex joins, window functions, CTEs across large healthcare datasets).
- Proficiency with Python and PySpark for data transformation at scale.
- Experience with cloud data platforms (Databricks preferred; Snowflake, BigQuery, or Redshift accepted).
- Familiarity with FHIR data models or willingness to learn healthcare data standards quickly.
- Azure cloud services experience (ADLS Gen2, Key Vault, networking basics).
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field.
Desired Skills
- Epic Clarity/Caboodle experience or healthcare data background.
- Delta Lake, Delta Sharing, or lakehouse architecture experience.
- HL7 message processing or real-time healthcare data pipelines.
- Experience working in a multi-tenant SaaS environment.
Technical Environment
- 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.
Impact & Growth Opportunity
As a Data Engineer at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale.
Why Join Qualified Health?
- Mission that matters: We partner with the country's leading health systems to safely deploy AI that improves patient care, operational efficiency, and financial performance.
- Serious traction: 14+ health system partners including the University of Texas system, University of Rochester Medical Center and Jefferson Health.
- Public Benefit Corporation: We're organized to prioritize patient outcomes alongside business performance.
- Comp that competes: We offer market competitive base salary, meaningful equity with real upside, and comprehensive benefits.
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.
Pay & Benefits
The pay range for this role is between $155,000 and $190,000, 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.
Job Requirements
- 4+ years as a data engineer building production ETL/ELT pipelines.
- Strong SQL skills (complex joins, window functions, CTEs across large healthcare datasets).
- Proficiency with Python and PySpark for data transformation at scale.
- Experience with cloud data platforms (Databricks preferred; Snowflake, BigQuery, or Redshift accepted).
- Familiarity with FHIR data models or willingness to learn healthcare data standards quickly.
- Azure cloud services experience (ADLS Gen2, Key Vault, networking basics).
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field.
- Desired Skills
- Epic Clarity/Caboodle experience or healthcare data background.
- Delta Lake, Delta Sharing, or lakehouse architecture experience.
- HL7 message processing or real-time healthcare data pipelines.
- Experience working in a multi-tenant SaaS environment.
- Technical Environment
- 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.
- Impact & Growth Opportunity
- As a Data Engineer at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale.
- Why Join Qualified Health?
- Mission that matters: We partner with the country's leading health systems to safely deploy AI that improves patient care, operational efficiency, and financial performance.
- Serious traction: 14+ health system partners including the University of Texas system, University of Rochester Medical Center and Jefferson Health.
- Public Benefit Corporation: We're organized to prioritize patient outcomes alongside business performance.
- Comp that competes: We offer market competitive base salary, meaningful equity with real upside, and comprehensive benefits.
- 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.
- Pay & Benefits
- The pay range for this role is between $155,000 and $190,000, 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.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Principal Data Engineer
JobgetherWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This role offers the opportunity to shape and lead the organization’s enterprise data strategy, bridging technical architecture, governance, and team leadership. You will: Design and maintain robust data pipelines. Establish a unified enterprise data model. Enable AI-ready anal...
Data Engineer
Wolverine TradingThe Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets.
The Data Engineer is responsible for designing and maintaining data pipelines, optimizing data systems, and collaborating with developers and analysts to ensure data quality and consistency.
Senior Data Engineer
RemiteeRemitee is an international, expanding organization with a vibrant culture that sets us apart. Our work environment is fast-paced and stimulating, offering numerous opportunities for growth and development. If you're a self-starter who thrives in a collaborative and challenging environment, we encourage you to apply. Our company values are fundamental to our daily operations. To succeed here, you'll need to embrace and live our company values. We build trust (Integrity and Transparency). We inspire through example, fulfilling promises, and communicating sincerely. We embrace diversity (Respect and Empathy). We listen and connect, valuing diverse perspectives. We recognize achievements and efforts. We trust in the synergy that emerges from effort and collaboration (Teamwork). We forge authentic bonds through offering opportunities and sharing responsibilities. We focus on what is essential (Simplicity). We simplify complexity, constructing effective solutions. We promote simple and accessible communication. We create our best version (Excellence). We act with discipline and perseverance, taking care of our physical and mental well-being. We live with passion and purpose in everything we do.
Remitee, a rapidly expanding fintech company specializing in international payments, is seeking a Senior Data Engineer to join its Data Team. We are looking for a highly autonomous builder - someone who can take an ambiguous business problem, design the solution end-to-end, and e...
The role involves designing, building, and operating scalable end-to-end data pipelines and curated data products to support enterprise analytics and agentic AI use cases. This includes integrating data from various sources and delivering reliable data services for AI workflows, such as APIs and retrieval/indexing.
