remote
Senior Data Engineering Analyst - Optum
Software Engineer
Lead the design and implementation of scalable batch and streaming data pipelines using Python, Spark, and AWS services to deliver high‑quality data solutions for health analytics.
About the role
Key Responsibilities
- Design, develop, and maintain robust batch and streaming data pipelines that ingest, transform, and load large volumes of healthcare data.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into efficient data models and workflows.
- Optimize pipeline performance and reliability using Spark, SQL, and cloud services such as AWS Glue, S3, and Redshift.
- Implement data quality checks, monitoring, and alerting to ensure data integrity and compliance with regulatory standards.
- Document architecture, processes, and best practices for future maintenance and knowledge transfer.
Requirements
- 5+ years of experience in data engineering with a strong focus on pipeline development.
Skills
pythonsqlapache sparkaws