Senior SQL Data Integration Engineer (US, Remote)

What is this opportunity?

We are seeking a Senior SQL / Data Integration Engineer to join our expanding team and play a crucial role in building and maintaining the data integrations that connect Eleos to the healthcare systems our customers rely on. In this role, you will bring clinical, operational, and financial data from behavioral health EHR/EMR systems into the Eleos platform, and trace any failure or discrepancy to its exact root cause. You'll collaborate closely with platform engineering, product, and customer technical teams to ensure our integrations are accurate, reliable, and repeatable across very different customer environments. You will also turn what you learn into reusable tooling, documentation, and standardized data models that help us scale.

Who are you?

You are a seasoned SQL and data integration engineer with deep, hands-on experience in behavioral healthcare data systems. You are at home in complex, unfamiliar databases, and you can work out how an EHR's data model really behaves, including the variations between one customer's environment and the next. You thrive in high-ownership environments, and you take pride in getting to the true root cause rather than patching symptoms. You care about automation and reuse, and you document what you learn so the next integration is faster than the last. You're known for your attention to detail, your collaborative spirit, and your ability to work with customer technical teams to turn business needs into clear technical specifications.

How will you contribute?

• Build, maintain, and investigate SQL-based data integrations end-to-end, covering clinical, operational, and financial data from healthcare systems.
• Resolve pipeline failures, discrepancies, and data quality issues by tracing them to their exact root cause.
• Navigate intricate data models, relationships, and business logic, accounting for variations across customer environments.
• Build reusable tooling, including extraction frameworks, automation, and validation tools, to accelerate integrations and improve reliability.
• Document data models, field mappings, business logic, and customer-specific configurations so knowledge is clear and reusable.
• Partner with platform engineers to translate integration learnings into scalable infrastructure and standardized data models.
• Work with customer technical teams to establish secure data access, translate business needs into technical specifications, investigate data structures, and resolve integration challenges.

What qualifications and skills will help you to be successful?

• Expert-level SQL skills, including complex queries, joins, performance optimization, and experience with large relational databases.
• Minimum 8 years of experience.
• Hands-on experience with behavioral healthcare data systems and EHR/EMR platforms, including a strong understanding of their underlying data structures and relationships.
• Experience with data extraction, ETL/ELT, data modeling, and data quality validation.
• Ability to independently navigate complex data environments and solve challenging technical problems.
• Strong documentation skills, attention to detail, and an engineering mindset focused on automation and reuse.
• Ability to collaborate effectively with platform engineering, product, and customer technical teams in a cross-functional setting.
• Nice to have: Python or other programming languages for data engineering and automation.
• Nice to have: Familiarity with cloud data platforms (AWS, Azure, GCP).