Senior Data Engineer

We’re looking for a data engineer with strong computer science fundamentals. Someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare.

Nice to have:

Security & Governance:

Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance.

Real Time Stream Processing:

Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The base salary compensation range for this position is $155,000 - $225,000, depending on geographic market.

Paid parental leave.

Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs.

Xealth provides your laptop and offers a home office stipend.

Generous learning & development opportunities for you to grow your skills and career.

401k Match: Xealth offers a dollar-for-dollar match up to 3%.

As a core member of our data engineering team, you will design, build, and scale the services that power Xealth’s Analytics and Reporting Capabilities. You’ll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines.

Data Modeling:

Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads.

Data Ingestion:

Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks.

Pipeline Design & Orchestration:

At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact.

We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights.

This role offers a unique opportunity to join a data engineering team  to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States.

Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation.

Xealth has been named to the World's Best Digital Health Companies list by Newsweek, awarded gold in the Digital Health awards in 2024 and twice in 2023. In 2023 Xealth was also listed as one of BuiltIn's Best Places to Work, and one of Fierce Healthcare's Fierce 15 of 2023.

We’re looking for a data engineer with strong computer science fundamentals — someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare.