Data Engineer​/Backend Developer - Mid-level; Active Secret

Required

• Bachelor’s degree and a minimum of 5 years related technical experience required.
  • An additional 4 years of experience may be substituted in lieu of a degree.
• Proficiency in scripting and automation (Bash, Python, etc.).
• Proven experience with Open Shift and Kubernetes in production environments.
• Strong understanding of containerization principles (Docker, Podman, etc.).
• Ability to work independently and collaboratively in a team environment.
• Experience with Openshift/Kubernetes and other container-based platforms.
• 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.
  • In addition, selected candidate must be able to obtain and maintain a favorably adjudicated DHS background investigation to start and for continued employment.

• 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.
• Experience with SAFe Agile testing environments.
• Experience using Open Shift to run microservice architectures designed to manage scale of data transformation processes.

Peraton is currently seeking to hire an experienced Data Engineer / Backend Developer to join our Federal Strategic Cyber program.

Location:

Arlington, VA. Hybrid telework/remote work environment. Must be able to come on-site as needed.

• 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 Open Shift/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 Dev Ops procedures.
• Troubleshoot and resolve issues in development, test, and production environments.