Data Engineer

Space Dynamics Laboratory; Stafford (VA); On-site; USD 108,000 - 208,000; Full time

Job summary

Space Dynamics Laboratory in Stafford, VA is hiring a Data Engineer to design and implement data infrastructure for a government customer. This full-time onsite role focuses on building scalable data solutions through architecture, data modeling, and pipeline development.

You will translate business needs into data models and pipelines, evaluate tools and processes, monitor and optimize data workflows, and document models to enable data sharing.

Qualifications

• Bachelor’s degree in CS or related field.
• 5+ years of relevant experience.
• Advanced SQL skills and data modeling expertise.
• Python proficiency for data pipelines.
• Experience with data architecture and governance.
• Ability to obtain a U.S. Government security clearance.
• Strong communication and cross-functional collaboration.
• U.S. citizenship required.

Responsibilities

• Translate requirements into data models and pipelines.
• Evaluate and implement data engineering tools.
• Monitor, troubleshoot, and optimize data workflows.
• Document data models, pipelines, and processes.
• Design data strategy with security and compliance considerations.
• Create conceptual, logical, and physical data models.

Skills

Advanced SQL

Python

Data architecture

Data modeling

Data pipeline design

Data pipeline implementation

Software configuration management

Communication

U.S. citizenship

Education

Bachelor’s degree in computer science, data engineering, or a related field

Tools

Version control

Job description

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.