Data Engineer

Space Dynamics Laboratory (SDL) is seeking a Data Engineer to support a Government customer by designing and implementing data infrastructure for an intelligence weapons system(s). This full-time onsite role is based in Stafford, VA, with a focus on building scalable, reliable data solutions through architecture, data modeling, and pipeline development.

What You’ll Do

• Work with stakeholders to translate business and operations requirements into data models and data pipelines
• Evaluate and help implement tools and processes that support data engineering initiatives
• Monitor, troubleshoot, and optimize existing data workflows and systems
• Document data models, pipelines, and processes to enable data, information, and knowledge sharing
• Design a data strategy for integrating data from multiple sources with security and compliance considerations
• Create conceptual, logical, and physical data models

Required Qualifications

• Bachelor’s degree in computer science, data engineering, or a related field
• 5+ years of relevant experience
• Advanced SQL skills, including building complex transformations and data models in a relational database
• Python proficiency for data pipeline development, automation, or API integrations
• Proficiency in data architecture and data modeling
• Proficiency in data pipeline design, implementation, and operations
• Familiarity with software configuration management tools and processes
• Ability to establish and maintain effective team relationships
• Strong written and verbal communication skills
• Ability to work independently and collaborate effectively with cross-functional teams
• U.S. citizenship with the ability to obtain and maintain a U.S. Government security clearance

Technologies

• SQL
• Python

Preferred Qualifications

• Active TS/SCI clearance
• Experience working with U.S. Government customers
• Experience with Risk Management Framework
• Experience in an Agile or DevOps environment
• Experience with data observability, testing, and quality frameworks
• Familiarity with Big Data processing tools such as Hadoop, Spark, NiFi, etc.
• Experience designing, building, and maintaining scalable data pipelines
• Experience implementing and promoting best practices for data governance, data quality, and observability
• Experience designing, building, and implementing data pipelines and data models

Salary Range

USD 108,000 - 208,000 per year.