Jr Data Engineer

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.

We are seeking a Data Engineer to design, build, and maintain modern data solutions supporting critical Intelligence Community operations. This position will work within a collaborative Agile team alongside software engineers, data engineers, and mission stakeholders to develop scalable data pipelines, optimize cloud-based data platforms, and enable the efficient movement and transformation of data across complex environments.

Responsibilities

• Develop, maintain, and enhance enterprise ETL processes and data pipelines
• Build Python-based solutions for data ingestion, transformation, and processing
• Integrate structured and unstructured data across multiple systems and environments
• Design and support scalable data solutions within AWS environments
• Improve data quality, platform performance, scalability, and operational efficiency
• Troubleshoot data issues and support production operations and system sustainment
• Develop automation to improve the reliability and performance of data engineering processes
• Support testing, deployment, and maintenance of data platform capabilities
• Participate in Agile sprint planning, backlog refinement, and technical reviews
• Develop technical documentation, data flow diagrams, and operational procedures

Required Qualifications

• Must be fully cleared with a recent polygraph
• Must be willing and able to work fully onsite at the location listed in this posting
• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical discipline, or equivalent education and experience
• Approximately 4–8 years of professional data engineering, software engineering, or related experience
• Demonstrated experience designing and maintaining ETL processes and enterprise data pipelines
• Strong Python development experience
• Hands-on AWS experience with services such as EC2, Lambda, EKS, and S3
• Experience supporting scalable data platforms and production data workflows
• Understanding of data modeling, data integration, and performance optimization
• Experience working within Agile software development environments

Desired Qualification

• Experience with Apache Airflow or similar workflow orchestration platforms
• Experience with Docker and Kubernetes
• Infrastructure as Code experience using Terraform
• Experience with CI/CD pipelines and DevOps practices
• Experience working with large-scale datasets and distributed processing frameworks
• Strong troubleshooting, analytical, and problem-solving skills
• #CJ