Data Engineer C2 Systems

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

MEANINGFUL WORK AND PERSONAL IMPACT
As a Data Engineer, the work you’ll do at GDIT will be impactful to the mission of 10th AAMDC and USAREUR-AF missions in Sembach Germany.

The Data Engineer is a hands-on technical expert responsible for designing, building, and maintaining the data infrastructure that underpins the modernization of Command and Control (C2) systems. This role is foundational to all data-driven activities, directly supporting 10th AAMDC and USAREUR-AF missions by developing the scalable, secure, and high-performance data systems that enable real-time analytics. Crucially, this role serves as the primary engineering partner to the Data Science team, creating the robust pipelines and platforms they need to extract actionable intelligence and provide a decisive battlefield advantage.

• Mission-Focused Data Pipeline Development: Design, build, and optimize robust ETL/ELT data pipelines to ingest, process, and transform data from diverse sources, including real-time 10th AAMDC C2 systems, sensors, and other operational technologies.
• Big Data Infrastructure Management: Configure, manage, and optimize the command's big data infrastructure (e.g., Spark, Hadoop, Kafka), integrating systems across cloud, tactical edge, and on-premise environments to enable the seamless flow of mission-critical data.
• Data Architecture & Modeling: Architect and manage the Enterprise Data Warehouse, associated data marts, and Operational Data Stores. Implement physical data models that align with DoD data standards and develop comprehensive data dictionaries to ensure clarity and consistency.
• System Performance & Security: Ensure the high availability, reliability, and performance of all data systems supporting C2 applications. Handle large-scale, high-velocity data and implement rigorous security protocols and access controls compliant with DoD and Army standards. Documentation: Develop and maintain thorough documentation for all data pipelines, code, and architectural processes to ensure sustainability and knowledge transfer. Integration & Collaboration with Data Science:
• Work as the primary engineering partner to the Data Science team, translating their analytical requirements into technical specifications for data pipelines and infrastructure.
• Implement a data strategy that prioritizes data quality and availability, acting on direct feedback from the Data Science team to enhance the reliability and structure of data systems.
• Build and optimize data pipelines specifically designed to feed machine learning models, ensuring a seamless and efficient flow of data from raw source to the Data Scientist's analytical workflow.
• Lead the technical integration and testing of new data sources, partnering with the Data Science team to validate data for analytical use before full deployment.

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WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The Data Engineer must have:

• Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field. A Master's degree may be preferred.
• Experience: 5-7 years of hands-on experience in data engineering, with a proven track record of designing and building large-scale data pipelines and infrastructure. Prior experience working in a DoD or military environment, with familiarity with C2 systems and DoD data standards.  Relevant certifications such as Certified Data Management Professional (CDMP), or cloud-specific data engineering certifications (e.g., Google Professional Data Engineer, AWS Certified Big Data – Specialty). Experience with data pipelines for machine learning models and collaboration with data science teams.

  Experience with real-time data processing frameworks and technologies.

• Technical skills: Experience design, build, and optimize robust ETL/ELT data pipelines to ingest, process, and transform data from diverse sources, including real-time 10th AAMDC C2 systems, sensors, and other operational technologies.  Expertise in big data technologies such as Apache Spark, Hadoop, and Kafka. Strong experience in designing, building, and optimizing ETL/ELT pipelines. Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and on-premise infrastructure.Advanced programming skills in languages such as Python, Java, or Scala. In-depth knowledge of SQL and NoSQL databases, data warehousing solutions, and data modeling techniques. Ability to obtain and maintain a security clearance, as required by the position. 
• Security clearance level: Active Secret Level Security Clearance
• US citizenship required
• Role requirements: Must possess a DoD 8570 IAT Level II certification or higher
• Must be able to obtain German TESA

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

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