Lead Data Engineer

Who we are

Fin Thrive is advancing the healthcare economy. We rethink revenue management to pave the way for a healthcare system that ensures every transaction and patient experience is addressed holistically. We're making breakthroughs in technology-developing award-winning revenue management solutions that adapt with healthcare professionals, freeing providers and payers from complexity and inefficiency, so they can focus on doing their best work. Our end-to-end revenue management platform delivers a smarter, smoother revenue experience that increases revenue, reduces costs, expands cash collections, and ensures regulatory compliance across the entire revenue cycle continuum.

We've delivered over $10 billion in net revenue and cash to more than 3,245 customers worldwide. When healthcare finance becomes effortless, the boundaries of what's possible in healthcare expand. For more information on our new vision for healthcare revenue management, visit

At Fin Thrive we're proud of our agile and committed culture, which has led to certification as a "Great Place to Work" since 2017. We're honored to have been ranked #21 among the Best Workplaces in Healthcare for 2023, and we know that it's our collective dedication that makes Fin Thrive an exceptional place to work.

• Find balance with our remote-friendly organization
• Take time to recharge and pursue your passions
• Be part of a positive and supportive work environment
• Grow and excel your career with training and education

Fin Thrive is committed to continually enhancing the employee experience by actively seeking new perks and benefits. For the most up-to-date offerings visit

The ideal candidate will have a natural curiosity about solving problems - familiar with the complexity of healthcare datasets. They will be critical thinkers with advanced problem solving, data mining, and data engineering skills that enables them to answer ambiguous questions in data that help leaders make great data driven decisions.

• Develop complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights, address reporting and data science needs
• Ensure that data pipelines are observable, scalable, reliable, and secure
• Improve data quality and integrity
• Contribute to a high-performance culture, problem-solving, learning, and collaboration across data and analytics department
• Responsible for maintenance and enhancements of existing functionality
• Responsible for working within and maintaining an extensible and performant system architecture
• Maintain a broad knowledge of emergent trends in software development platforms, tools, methodologies and their underlying principles
• Code review, unit test coverage and continuous improvement
• Build tools to support automation and productivity
• Communicate effectively with team members and project leadership to identify needs and evaluate alternative business solutions.
• Ensure unit tests written for all new code
• Seek opportunities to incorporate new technologies into the product's technology stack when they can add value
• Work directly with support organizations to resolve production issues
• Provide application support by analyzing defects, replicating / fixing defects and providing root cause analysis for defects
• Troubleshoot and resolve functional and performance related issues
• Seek development opportunities above and beyond required training
  
  Demonstrate ability to work with team members, onsite as well as remote
• Serve as mentor for junior engineers in the hard and soft skills required for success
• Participate in training of junior engineers and QA engineers
• Participate in delivering team commitments, dev, QA, documentation, etc.
• Serve as a team product expert during discussions with other business units / teams

• 6+ years of experience in data engineering with a focus on cloud platforms (preferably Azure).
• Experience in developing software in an Agile environment
• Hands‑on experience with Databricks, Delta Lake, and Unity Catalog.
• Proficiency in Python, SQL, and Spark.
• Experience with…