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Configuration and Data Engineer - Raytheon
Data Engineer
Configuration and Data Engineer responsible for designing, deploying, and maintaining scalable data pipelines and infrastructure using Python, SQL, AWS, Terraform, and Docker, ensuring high availability and performance across hybrid environments.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and store large volumes of data.
- Implement and manage infrastructure-as-code using Terraform and Docker to provision and scale cloud resources on AWS.
- Collaborate with cross‑functional teams to define data architecture, governance, and security best practices.
- Monitor, troubleshoot, and optimize data workflows for reliability, performance, and cost efficiency.
- Document processes, maintain version control, and provide technical guidance to junior engineers.
Requirements
- Proven experience in data engineering with strong Python and SQL skills.
- Hands‑on experience with AWS services (S3, Redshift, Glue, Lambda) and infrastructure-as-code tools.
- Familiarity with containerization (Docker) and orchestration concepts.
- Solid understanding of configuration management and automation practices.
- Excellent problem‑solving skills and ability to work in a hybrid, collaborative environment.
Skills
pythonsqlawsterraformdocker