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Informatics Lead / Cloud Data Engineer - Seneca Holdings
Data Engineer
Lead cloud data engineering initiatives for federal health agencies, designing secure, scalable data pipelines on AWS, leveraging Python, SQL, and advanced ETL techniques to deliver mission‑critical insights.
About the role
Key Responsibilities
- Architect, develop, and maintain large‑scale data pipelines on AWS, ensuring high availability and compliance with federal security standards.
- Lead a team of data engineers, providing mentorship, code reviews, and best‑practice guidance.
- Design and implement data models, ETL processes, and data quality frameworks to support analytics and reporting for federal health programs.
- Collaborate with cross‑functional stakeholders to translate business requirements into technical solutions.
- Ensure data security, privacy, and regulatory compliance across all data assets.
Requirements
- 5+ years of experience in cloud data engineering, preferably with AWS services (Glue, Redshift, S3, Lambda).
- Proficiency in Python, SQL, and ETL tooling.
- Strong understanding of data security, encryption, and compliance frameworks (FedRAMP, FISMA).
- Experience leading technical teams and managing complex projects.
- Excellent communication skills and ability to work in a fast‑paced federal environment.