Informatics Lead / Cloud Data Engineer - Seneca Holdings, LLC
Data Engineer
Lead the design and deployment of cloud data pipelines, leveraging Python, SQL, and AWS services to deliver scalable, secure analytics solutions for federal health agencies.
About the role
Key Responsibilities
Architect, develop, and maintain cloud-based data pipelines using Python, SQL, and AWS services (S3, Redshift, Glue, Athena).
Implement infrastructure as code with Terraform, ensuring reproducible and auditable deployments.
Design data models and schemas that support high‑performance analytics and reporting for federal clients.
Collaborate with data scientists and business stakeholders to translate requirements into robust data solutions.
Monitor pipeline performance, troubleshoot issues, and optimize for cost and speed.
Document architecture, processes, and best practices for internal and external compliance.
Requirements
5+ years of experience in cloud data engineering, preferably in a federal or regulated environment.
Proficiency in Python, SQL, and AWS data services.
Hands‑on experience with Terraform or similar IaC tools.
Strong understanding of data modeling, ETL design, and performance tuning.
Excellent communication skills and ability to work cross‑functionally.