Peraton is seeking to hire an experienced Data Engineer / Backend Developer to join their Federal Strategic Cyber program to design, build, and maintain ETL pipelines, manage containerization strategies, and ensure security best practices.
Requirements
- Proficiency in scripting and automation (Bash, Python, etc.).
- Proven experience with OpenShift and Kubernetes in production environments.
- Strong understanding of containerization principles (Docker, Podman, etc.).
- Experience with Openshift/Kubernetes and other container-based platforms.
- Experience with the Databricks Data and AI platform.
- Experience implementing and utilizing AI models to explore and refine data.
- Experience training task specific AI models for normalization and alerting.
Responsibilities
- Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices.
- Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas.
- Implement and manage containerization strategies using OpenShift/Kubernetes.
- Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle.
- Monitor and optimize system performance, reliability, and availability.
- Automate infrastructure and application deployment processes.
- Ensure security best practices are implemented throughout all DevOps procedures.
Other
- Hybrid telework/remote work environment. Must be able to come on-site as needed.
- Ability to work independently and collaboratively in a team environment.
- Experience interfacing with clients, technical support personnel, and other technical professionals to ensure efficient and effective service.
- U.S. Citizenship is required.
- Active Secret with ability to obtain a Top Secret security clearance with SCI eligibility required.
