Senior SQL Data Integration Engineer (US, Remote)

About the role

Who is Eleos Health?

The people who deliver care in our communities and homes do some of the most important work in healthcare. But too often, theyʼre asked to spend their time navigating paperwork, administrative burden, and problems they only discover after something has already gone wrong.

Eleos exists to change that.

Weʼre building the system of action for community-based care - helping behavioral health, hospice, home health, and other care teams spend less time reacting to problems and more time focused on the people they serve.

Powered by our Polaris AI, Eleos works alongside clinicians and their teams to understand whatʼs happening across care in real time and take action before issues become problems, reducing administrative burden, protecting revenue and compliance, and giving care teams more time and capacity to deliver great care.

Our vision is a world where care teams can stay one step ahead, rather than constantly catching up. Weʼre helping shift an entire industry from reactive to proactive, and we need talented people to help us get there.

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).

This is a unique opportunity to join a startup that has a meaningful impact on thousands' well-being and mental health.

This role offers:

A team of amazing people with a shared vision and the infinite drive to make it happen

The base pay range for this position is $170,000-190,000 per year. The determination of what a specific employee in this job classification is paid depends on several factors, including, but not limited to, prior employment history/job-related knowledge, qualifications and skills, length of service, and geographic location.

Opportunity to build, grow, and become highly instrumental in shaping how technology can increase the effectiveness of therapy

Fully remote work environment

Benefits

For employees

Competitive health and well-being benefits, mental healthcare support, and life and AD&D insurance

Significant equity and 401(k) plans matched to 4%

Company sponsored retirement plan

Global business travel insurance for you and any dependents traveling with you

Domestic conference budget and annual learning & development stipend

Remote work stipend

Life & family

Generous PTO, additional mental health days, and paid time off to recharge, care for yourself and loved ones, and handle life's moments

Fertility treatment and family planning coverage

Culture & development

Annual learning & development stipend

Employee resource groups and team-driven celebrations and events

Posting text as published by Eleos Health.

The evidence behind this listing

Workplace

Remote Matched in posting text

Seniority

senior From the job title

Employment type

Not established

Location as listed

US

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

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Citizenship

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