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Data Engineer - Genesis Health Care, Inc.
Data Engineer
Seeking a Data Engineer to design, build, and maintain scalable data pipelines and warehouses, leveraging Python, SQL, and cloud services to support patient‑focused analytics in a nonprofit healthcare environment.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest and transform clinical and operational data.
- Build and optimize data models and warehouses using Snowflake and relational databases.
- Implement data orchestration workflows with Apache Airflow or similar tools.
- Collaborate with analytics, clinical, and IT teams to ensure data quality, availability, and security.
- Monitor performance, troubleshoot issues, and continuously improve data infrastructure on AWS.
Requirements
- 3+ years of hands‑on experience in data engineering, preferably in healthcare or a regulated industry.
- Proficiency in Python and SQL for data manipulation and scripting.
- Experience with cloud platforms (AWS) and data warehousing solutions such as Snowflake.
- Strong understanding of ETL design patterns, data modeling, and workflow orchestration tools (e.g., Airflow).
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlawssnowflake