remote
Senior Data Engineering Consultant - Optum
Software Engineer
Lead Azure‑based data engineering projects, designing and building scalable data pipelines, reporting solutions, and data models to drive actionable insights across health platforms.
About the role
Key Responsibilities
- Design, develop, and maintain Azure Data Factory pipelines and Azure Synapse analytics solutions for large‑scale health data integration.
- Build and optimize SQL data warehouses, ensuring high performance and data integrity.
- Create interactive Power BI dashboards and reports to support clinical and operational decision‑making.
- Collaborate with data scientists and business stakeholders to translate requirements into robust data models and ETL processes.
- Implement data quality checks, monitoring, and troubleshooting to guarantee reliable data delivery.
Requirements
- 5+ years of experience in data engineering with a focus on Azure cloud services.
- Proficiency in SQL, Python, and data modeling best practices.
- Hands‑on experience with Azure Data Factory, Azure Synapse, and Power BI.
- Strong analytical skills and ability to translate complex business needs into technical solutions.
- Excellent communication and collaboration skills in a cross‑functional team environment.