HSA is seeking a motivated Data Engineer to develop and maintain robust data workflows supporting our enterprise analytics environment. This role involves integrating and processing data from multiple sources such as healthcare records, payroll systems, and other business applications to fuel datamarts and warehouses. The successful candidate will be responsible for ensuring data accuracy and consistency by implementing validation mechanisms and optimizing pipeline performance. Collaboration with analytics teams, infrastructure engineers, and business stakeholders is key to delivering actionable insights and driving data automation initiatives. Candidates should bring solid experience in SQL development on Azure, building ETL/ELT processes with modern cloud tools, and hands-on expertise with Databricks platform components. Proficiency in Python and PySpark, as well as familiarity with version control and CI/CD workflows, is prominent. Prior exposure to healthcare data environments and tools like HealthCatalyst Ignite is advantageous.
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Job Type
Full-time
Career Level
Mid Level