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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, each requiring a hybrid work schedule with regular 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
Skills Required
- Bachelor's degree in computer science, information systems, engineering, mathematics, or a related field plus 5–8 years of relevant experience
- Alternatively, a related master's degree plus at least 3 years of relevant experience
- Active TS/SCI CI Poly security clearance
- Production coding experience in Python, Scala, Java, or a comparable language
- Experience using Git, automated testing, and CI/CD practices
- Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations
- Experience troubleshooting authentication and data exchange issues
- 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 integrating enterprise applications and external services
- Ability to own complex data engineering work from requirements and design through production operation
- Experience leading technical collaboration with analytics, data science, product, security, or mission teams
- Experience mentoring other engineers
- Clear written and verbal communication skills
- Knowledge of metadata standards
- Experience with search tools, search-result organization, metadata organization, indexing, and catalog content
- Experience in GIS-related applications
What We Do
For over 20 years, TDI’s one and only passion has been delivering cybersecurity solutions to effectively manage the business of cyber. At the global vanguard of innovation, we created Cybersecurity Performance Management (CPM) and the industry-leading CPM platform, CnSight®. Combining CnSight® with our remarkable historical experience and our exceptional capabilities of cyber operations and compliance, we offer Managed Cybersecurity Performance, a first of its kind managed CPM offering. TDI’s CPM solutions mitigate risk, reduce ransomware, provide continuous compliance, improve cyber-ROI, and provide comprehensive instantaneous visibility into how an organization is performing against its cyber strategy, particularly for Boards of Directors. CnSight® is the industry-leading Cybersecurity Performance Management (CPM) platform which mitigates risk, reduces ransomware, provides continuous compliance, improves cyber-ROI, and provides comprehensive instantaneous visibility into how an organization is performing against its cyber strategy, so executives and Boards may effectively manage the business of cybersecurity– the result: reduced stress, better performance, less cost, and a true understanding of cyber investment. With CnSight® at its core, TDI’s Managed Cybersecurity Performance offering ensures strategic cyber goals are met to protect an organization’s investments, assets and reputation by reducing the risk of ransomware, lowering cyber insurance premiums, improving ROI, reducing legal and fiduciary liability, delivering actionable reporting to the Board and C-Suite, providing on-call advice, ensuring continuous compliance and providing subject matter expertise on the organization’s behalf in meeting with the C-Suite and the Board, dealing with auditors, and supporting budget decisions – the result: reduced stress, better performance, less cost, and a true understanding of cyber investment.
