A healthcare technology organization is seeking a Senior Data Engineer to build and optimize enterprise data solutions using Snowflake and Azure.
The position combines hands-on data warehouse engineering, SQL development, scalable data pipelines, data modeling, and production reliability. The engineer will work with complex datasets, including healthcare-related information, while helping analytical and operational teams access reliable, well-governed data.
Technical engineering depth is the primary consideration. Relevant candidates from outside the healthcare industry are encouraged to apply.
RESPONSIBILITIES- Design, build, and optimize cloud data warehouse structures in Snowflake.
- Develop and maintain Azure-based data ingestion and transformation pipelines.
- Implement incremental processing, automated data loading, and scalable data transformation patterns.
- Design dimensional models and layered warehouse architectures.
- Improve SQL performance, warehouse cost efficiency, and processing reliability.
- Monitor data pipelines, troubleshoot production issues, and maintain data quality.
- Implement data security, access control, and recovery practices.
- Collaborate with engineering and business stakeholders on data requirements and delivery.
Role Requirements- Substantial senior-level production data engineering experience, with 10+ years targeted in the formal JD.
- Strong, recent Snowflake engineering expertise.
- Advanced SQL development and performance tuning.
- Enterprise ETL/ELT pipeline implementation experience.
- Hands-on Azure Data Factory and Azure data services.
- Data modeling and cloud data warehouse architecture experience.
- Production troubleshooting, reliability, and data quality expertise.
- Understanding of data governance, privacy, and access controls.
- Git, CI/CD, and collaborative engineering experience.
- Strong problem-solving and communication skills.
PREFERRED EXPERIENCE- Healthcare claims, payer, or provider data experience.
- Healthcare EDI and medical coding knowledge.
- SQL Server and SSIS modernization.
- Snowpark, stored procedures, or infrastructure-as-code.
- AI-assisted data engineering tools.