remote
Senior Data Engineer - Government & Public Sector AI & Data - EY
Data Engineer
Senior Data Engineer driving AI and data initiatives for federal, state, and local clients. Build scalable data pipelines, leverage AWS services, and apply machine learning to deliver actionable insights for public sector transformation.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and lakehouse architectures on AWS to support AI and analytics workloads for government clients.
- Collaborate with data scientists, analysts, and stakeholders to translate business requirements into scalable data solutions.
- Implement ETL processes, data quality checks, and metadata management to ensure data integrity and compliance with public sector regulations.
- Optimize performance and cost of data services using best practices in cloud architecture and automation.
- Mentor junior engineers and contribute to knowledge sharing across the practice.
Requirements
- 5+ years of experience in data engineering, with a strong focus on cloud (AWS) and big data technologies.
- Hands‑on experience with AWS services such as S3, Redshift, Glue, Athena, and Lake Formation.
- Solid understanding of machine learning pipelines and model deployment in production environments.
- Excellent communication skills and ability to work in a collaborative, client‑facing setting.
Skills
pythonsqlawsmachine learning