Job Overview
Location
US Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
June 23, 2026
Full Job Description
đź“‹ Description
- • Design and implement scalable data warehouse solutions by integrating client data with the Ignite platform, adhering to Health Catalyst’s architecture and standards.
- • Lead end-to-end migrations from SQL Server to Databricks, including schema mapping, query optimization, Spark SQL translation, performance tuning, and data validation.
- • Develop and maintain data products using dbt, ensuring high data quality, comprehensive documentation, and alignment with client analytics requirements.
- • Profile and analyze large, complex datasets to interpret multiple data models quickly and accurately.
- • Apply advanced data modeling skills using dimensional, 3rd Normal Form, and other industry standards, and clearly explain these concepts to both technical and non-technical stakeholders.
- • Interpret complex client requests and implement solutions using Health Catalyst-specific tools including DOS Marts, SAMs, SAM Designer, Source Mart Designer, Databricks, and Visual Studio Code.
- • Communicate project status, risks, and outcomes effectively to stakeholders and leadership to ensure successful implementation and delivery.
- • Drive knowledge transfer and training initiatives for client teams and support internal onboarding of new data engineers.
- • Contribute to the improvement of internal tooling and processes to enhance team efficiency and data engineering practices.
- • Make sound, mission-aligned decisions on behalf of clients and peer groups that reflect Health Catalyst’s strategic priorities and organizational goals.
- • Quickly learn new software tools and technologies, and proactively seek training or assistance when needed.
- • Demonstrate exceptional interpersonal, problem-solving, and time management skills to navigate challenging situations and support team collaboration.
- • Anticipate, diffuse, and manage conflict resolution in cross-functional and client-facing environments.
- • Support the development and retention of world-class data engineering talent through mentorship and collaboration.
🎯 Requirements
- • Deep technical experience in SQL, ETL, data modeling, and cloud environments
- • Advanced data modeling skills with ability to explain dimensional and 3rd Normal Form concepts to diverse audiences
- • Hands-on experience migrating workloads from SQL Server to Databricks, including Spark SQL translation and performance tuning
- • Proven experience as a Data Engineer, Analytics Director, Technical Director, or similar role
- • Hands-on experience with dbt for building, testing, and documenting data models
- • Ability to interpret complex client requests and implement solutions using Health Catalyst tools (e.g., DOS Marts, SAMs, Databricks)
🏖️ Benefits
- • Opportunity to work with one of the nation’s leading healthcare performance improvement companies
- • Remote work flexibility across the United States
- • Exposure to international healthcare markets
- • Collaborative environment focused on data-informed healthcare improvement
- • Support for professional growth through training and knowledge transfer
- • Inclusive, equal opportunity employer culture
Skills & Technologies
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About Health Catalyst
Health Catalyst is a company dedicated to improving healthcare outcomes and reducing costs through data analytics and technology. They provide a comprehensive data platform and a suite of analytics applications designed to help healthcare organizations leverage their data for better decision-making. Their solutions address various challenges, including patient safety, care coordination, operational efficiency, and financial performance. By integrating data from disparate sources and offering intuitive tools, Health Catalyst empowers clinicians and administrators to identify trends, predict risks, and implement evidence-based interventions. Their focus is on driving measurable improvements in quality, safety, and affordability within the healthcare ecosystem.
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