General program information and/or position overview.
Leidos is seeking a highly qualified candidate for the Data Engineer role to support the United States Space Force (USSF) in the design, development, test, and deployment of defensive cyber capabilities. A successful candidate should have a deep understanding of defensive cyber technologies and policy, the relevant stakeholders and their equities, and be a leader and problem solver with a proven ability to deliver superior results as part of a high performing team in a fast-paced environment.
Primary Responsibilities
- Analyze existing data infrastructure, landscape, and security posture to create a data strategy roadmap
- Build an action plan in a Microsoft tool that is executable by the US Space Force
- Build and maintain an action plan for data collection, storage, and analysis
- Ensure cross-functional collaboration by partnering with the Data Strategist to support data infrastructure and mission needs
Basic Qualifications
- Requires BS and 8+ years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience, additional years of experience will be accepted in lieu of a degree
- Understanding of Data Security and access controls in accordance with the DoD and Air Force Data Strategy policies and procedures
- Has designed and maintained data architecture, models, schemas and data warehouses
- Strong proficiency in Microsoft Excel, PowerPoint, PowerBI, with experience creating executive-level operational reports and briefings
- Strong analytical, problem-solving, and organizational skills
- Excellent written and verbal communication skills with the ability to interact effectively with senior leaders
- Strong attention to detail and ability to work “in the weeds” with data
- Understanding of organizational data governance
- Understanding of the DoD and Air Force Data Strategy policies and procedures
- General understanding of data analytics
- Strong understanding of data lifecycle and layers required to process data from ingestion to visualization
- Experience with data visualization tools such as Grafana, Apache Superset, Tableau, and Power BI
- U.S. Citizen
Preferred Qualifications
- Current/active DoD Secret Clearance
- Advanced technical expertise with demonstrated architectural decision making and project leadership
- 5 to 7+ years of progressive experience in data engineering, analytics engineering or data platform development
- Deep production level expertise with cloud data platforms and warehouses like snowflake, AWS, Google Cloud Platform (GCP) and Microsoft Azure
- Relevant cloud platform and data ecosystem certifications
Original Posting:July 10, 2026
Pay Range:Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
