Senior Data Engineer – Integrations

🕒 2 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Health Catalyst

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

Healthcare Insurance • Artificial Intelligence • SaaS

Health Catalyst is a leading provider of data and analytics technology and services to healthcare organizations, committed to being the catalyst for massive, measurable, data-informed healthcare improvement. The company empowers organizations with AI-enabled insights and comprehensive data solutions to drive scalable, measurable improvements in patient outcomes, operational efficiency, and financial performance. With a focus on population health management, clinical quality, and patient engagement, Health Catalyst aims to transform healthcare through data-driven decision-making.

📋 Description

• Design and implement scalable data warehouse solutions by integrating client data with the Ignite platform • Lead SQL Server to Databricks migrations, including schema mapping, query optimization, and data validation • Develop and maintain data products using dbt, ensuring high data quality, documentation, and alignment with client analytics needs • Communicate project status and risks effectively to stakeholders and leadership, ensuring successful implementation outcomes • Drive knowledge transfer and training for client teams while supporting internal tooling improvements and onboarding data engineers

🎯 Requirements

• Minimum 4–7 years relevant or equivalent experience • Deep technical experience with data query (SQL), data movement (ETL), data modeling, and working within cloud environments • Ability to profile large datasets and interpret and analyze multiple data models quickly • Strong experience as a Data Engineer, Analytics Director, Technical Director, or similar role • Advanced data modeling skills • Working knowledge of dimensional, 3rd Normal, and other data modeling standards • Experience migrating workloads from SQL Server to Databricks, including Spark SQL query translation, performance tuning, and data validation practices • Hands-on experience with dbt for building, testing, and documenting data models; familiarity with dbt on Databricks preferred

🏖️ Benefits

• Flexible PTO • Professional development stipend • Remote-first work environment