Data Engineer - Tetrad Digital Integrity LLC

Tetrad Digital Integrity (TDI) is a cybersecurity firm built for high-consequence environments where mission, complexity, and trust intersect. Our single focus has been delivering cyber solutions to effectively manage risk & the business of cyber for 25 years!

TDI is seeking Data Engineers to support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts, customers, and end users' access, discover, stage, link, produce, re-integrate, and deliver intelligence. You will guide technical decisions, work across mission and engineering teams, and improve cloud-based data platforms.

Multiple positions are available. This role requires full-time onsite support in Springfield, VA, and an active TS/SCI security clearance.

RESPONSIBILITIES:

• Lead the architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes for analytics, reporting, and mission operations
• Design and oversee API connectors and integrations that ingest data securely from internal platforms and external services
• Set engineering approaches for data processing, storage, and database performance to meet scale, reliability, and latency needs
• Establish and improve data quality, validation, monitoring, and governance practices across production data products
• Partner with mission stakeholders, analysts, architects, and product teams to define requirements and guide technical solutions
• Lead diagnosis and resolution of complex data integration, pipeline, and production performance incidents
• Coordinate with security and compliance teams to build required protections and controls into data systems
• Maintain architecture and operational documentation, and mentor engineers through design discussions and code reviews
• Contribute to Agile planning and delivery, helping the team break down work and manage technical dependencies
• Evaluate platform and tooling choices, explain tradeoffs, and recommend improvements to data architecture and engineering practices

Active TS/SCI CI Poly clearance

• Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related field plus 5-8 years of relevant experience; or a related master’s degree plus at least 3 years of relevant experience
• Demonstrated ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD practices
• Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations, including troubleshooting authentication and data exchange issues
• Srong engineering judgment and experience selecting data architectures and patterns for complex, evolving datasets
• Experience delivering and operating scalable production data pipelines across structured, semi-structured, or unstructured data
• Experience designing API connectors and ingestion patterns that integrate enterprise applications and external services
• Ability to own complex data engineering work from requirements and design through production operation, improving reliability and data quality
• Experience leading technical collaboration with analytics, data science, product, security, or mission teams and mentoring other engineers
• Clear written and verbal communication skills, including the ability to explain technical decisions and tradeoffs

• Knowledge of metadata standards
• Experience with Search tools, Search results organization and the implications of metadata organization, indexing, catalog content
• Experience in GIS-related applications

TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States.

“TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws.”