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
Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.