What are the responsibilities and job description for the Senior Data Engineer position at Qualified Health?
Job Description
Job Description
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 a Staff ETL Pipeline Engineer to serve as both a hands-on technical leader and architectural authority for our data integration and transformation infrastructure. In this role, you'll combine deep healthcare data expertise with sophisticated engineering practices to design, implement, and maintain robust, scalable ETL pipelines that power our AI platform. You'll directly build and deploy critical data infrastructure while also driving its strategic evolution, working independently and collaborating with cross-functional teams to enhance our platform's data processing capabilities.
Key Responsibilities :
- Lead by doing : directly architect, implement, configure, and deploy enterprise-grade data pipelines that handle complex healthcare data at scale
- Own the end-to-end technical implementation of critical data infrastructure, from initial setup through production deployment and ongoing maintenance
- Drive technical planning and architecture discussions with platform teams, defining and implementing data transformation patterns that balance scalability, reliability, and maintenance considerations
- Provide hands-on technical oversight of ETL implementations, ensuring robust error handling, monitoring, and operational excellence
- Develop, test, and deploy reusable ETL components and frameworks to accelerate development and ensure consistency across pipelines
- Implement sophisticated data quality checks and monitoring solutions to ensure reliable data processing
- Actively debug and optimize pipeline performance, solving complex data processing challenges in production environments
- Provide authoritative guidance on healthcare data formats, ETL patterns, and data quality best practices to both internal teams and implementation partners
- Mentor data engineers through direct collaboration on technical implementations while driving adoption of best practices
- Partner with platform architects to resolve complex data integration challenges and ensure production reliability
- Influence technical roadmap based on deep understanding of healthcare data processing needs and hands-on implementation experience
Required Qualifications :
Preferred Qualifications :
Technical Environment :
Our data infrastructure is built on modern cloud technologies including :
The role requires both deep expertise in these technologies and the ability to implement production-grade solutions using them.
Impact & Growth Opportunity :
As a Staff ETL Pipeline Engineer at Qualified Health, you'll play a crucial role in both building and evolving the data foundation that powers our AI platform's ability to deliver insights to major health systems. You'll have the opportunity to directly implement critical infrastructure while influencing our technical architecture and platform capabilities, working with cutting-edge technologies that improve healthcare delivery. This position offers significant visibility and growth potential as we scale our platform across the healthcare ecosystem.
What We Offer :
Pay & Benefits : The pay range for this role is between $160,000 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.
Salary : $160,000 - $220,000
