Data Engineer

Space Dynamics Laboratory•Stafford, VA

9d•$108,000 - $208,000•Onsite

About The Position

Space Dynamics Laboratory (SDL) is seeking a Data Engineer to join our C4ISR Division. This position is embedded with a Government customer to support the design and implementation of a data infrastructure for an intelligence weapons system(s). The selected candidate will work closely with the customer and cross-functional teams to deliver scalable, reliable data solutions. This role is ideal for someone with a strong foundation in data engineering who is ready to take ownership of data architectural designs. This position will be full-time onsite, non-remote in Stafford, VA. The Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) Systems Division delivers mission-critical solutions, specializing in cyber operations, information architecture, strategic deterrence, and ISR. Our division’s commitment to innovation and security enables us to provide critical solutions across defense, intelligence, and national security. Join our team and contribute to the next generation of defense technologies.

Requirements

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

Nice To Haves

Active TS/SCI clearance
Experience working with U.S. Government customers
Experience with Risk Management Framework
Experience working in an Agile or DevOps environment
Experience with data observability, testing, and quality frameworks
Familiarity with Big Data processing tools (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 and implementing data pipelines and data models

Responsibilities

Collaborates with stakeholders to translate business and operations requirements into data models and pipelines
Assists in evaluating and implementing tools and processes to support data engineering initiatives
Monitors, troubleshoots, and optimizes existing data workflows and systems
Documents data models, pipelines, and processes to support data, information, and knowledge sharing
Designs data strategy for integration of data from multiple sources, ensuring security and compliance
Creates conceptual, logical, and physical data models