Senior Data Engineer

Meridian Systematics•Springfield , VA

1d•$145,000 - $175,000

About The Position

Meridian Systematics is seeking a Senior Data Engineer to support a National Geospatial-Intelligence Agency (NGA) program delivering GEOINT data across the enterprise. The role leads the design of cloud-based data platforms that enable analysts, customers, and end users to access, discover, stage, link, produce, and deliver intelligence. The Senior Data Engineer guides technical decisions, mentors engineers, and collaborates with mission and engineering teams.

Requirements

Active TS/SCI clearance with CI Polygraph.
Bachelor's degree in computer science, information systems, engineering, mathematics, or a related field, with 5+ years of relevant experience; or a related master's degree with 3+ years of relevant experience.
Ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD.
Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations, including troubleshooting authentication and data exchange issues.
Experience delivering and operating scalable production pipelines across structured, semi-structured, and unstructured data.
Sound judgment in selecting data architectures and patterns for complex, evolving datasets.
Ability to own complex work from requirements and design through production operation.
Experience leading technical collaboration with analytics, data science, product, security, or mission teams, and mentoring other engineers.
Clear written and verbal communication, including explaining technical decisions and tradeoffs.

Nice To Haves

Knowledge of metadata standards.
Experience with search tools, search results organization, indexing, and how metadata organization affects catalog content.
Experience with GIS-related applications.

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 securely ingest data 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 solutions.
Lead diagnosis and resolution of complex pipeline, integration, and production performance incidents.
Work 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, helping the team break down work and manage technical dependencies.
Evaluate platform and tooling choices and recommend improvements to data architecture and engineering practices.