remote
Lead Data Engineer - MetLife
Data Engineer
Lead Data Engineer driving data architecture, ETL pipelines, and governance for a large insurance business, leveraging Python, SQL, AWS, and advanced data modeling to enable analytics and AI initiatives.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines and architecture for the Eligibility team using Python, SQL, and AWS services.
- Collaborate with data scientists, analysts, and business stakeholders to translate business requirements into robust data solutions.
- Implement and enforce data governance, quality, and security standards across all data assets.
- Optimize existing data workflows for performance, reliability, and cost-efficiency.
- Mentor and lead a small team of data engineers, fostering best practices and continuous improvement.
Requirements
- 5+ years of experience in data engineering within a large enterprise environment.
- Proficiency in Python, SQL, and AWS data services (Redshift, Glue, S3, Lambda).
- Strong background in data modeling, ETL design, and data governance frameworks.
- Experience with big‑data tools such as Spark or Hadoop is a plus.
- Excellent communication skills and ability to work cross‑functionally.