Data Engineering Innovator
5 days ago
About Health Catalyst: A leading player in the healthcare industry, Health Catalyst is pioneering solutions to national-level healthcare problems. As a dynamic and influential company, we value smart, hardworking, and humble individuals who share our mission to improve healthcare performance, cost, and quality.
We are expanding our Improvement Apps suite, which contributes to healthcare analytics and process improvement solutions. These products manage health system populations, better serve patients at the point of care, reduce health system costs, and reduce clinician workload.
Senior Data Engineer RoleYou will play a pivotal role within our data engineering team, designing, building, and maintaining robust data pipelines and platforms that support internal HCAT teams, clinicians, and patients. Your expertise will transform raw data into actionable insights, driving business decisions and outcomes.
This role involves collaborating with cross-functional teams to drive clarity and prototype individual data-related features or solutions. You will leverage knowledge of data architecture patterns to design and implement features/tasks that are approximately 50-60% well-defined. Gaps will be identified, and informed decisions made, balancing autonomy and collaboration.
Work is reviewed with occasional material direction or implementation changes. The ability to communicate effectively with Customer Success about customer issues escalated to Engineering and help quantify customer impact is essential. Responding quickly to operational emergencies, finding short-term resolutions, and planning long-term fixes to avoid similar issues in the future is also critical.
What We're Looking For: A deep understanding of common data pipeline concepts like ETL, ELT, and data platform concepts related to successive enrichment, e.g., medallion approach. Extensive familiarity with one or more Big Data Platforms (primarily Azure Synapse, Databricks, Python, Snowflake) is required. Working knowledge or relevant experience on modern data pipeline and platform architecture, technology components, database principles, processes, technologies, and tools is essential.
Absolutely necessary are common/modern data pipeline languages and frameworks (e.g., Stored Procedure/T-SQL, Python/pandas, C#/DataFlow, Databricks, Snowflake, PowerShell), Reporting/Dashboarding/Visualization experience (PowerBI, Tableau or others), Curious and capable of learning new languages, architecture patterns & frameworks rapidly, Extremely collaborative, professional focus, and drive, and Passionate about applying technology to solve real-world problems.
Compensation Package: Our competitive compensation package includes an estimated salary of $145,000 - $180,000 per year, depending on experience, plus additional benefits and perks.
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