Mid Data Engineer

The Bison Group•Springfield, VA

About The Position

As a Mid Data Engineer, you will support a National Security mission to position NGA as the enterprise and community GEOINT data provider. You will help improve how analysts, customers, and end users access, discover, stage, link, produce, reintegrate, and deliver intelligence. Working with experienced engineers and mission teams, you will improve reliable data delivery across cloud and enterprise environments. The schedule is Monday through Friday, 8 a.m. to 5 p.m. A TS/SCI CI Poly clearance is required. The role requires a bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field; equivalent education and experience may be considered. The experience requirement is 3–5 years with a bachelor’s degree or 1–3 years with a related master’s degree. The Bison Group offers benefit options including medical, dental, vision, life, and disability insurance, as well as accrued PTO that includes vacation, sick leave, and holidays. Compensation is described as a market-based wage or salary range, but no specific range is provided.

Requirements

A TS/SCI CI Poly clearance is required.
Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field; equivalent education and experience may be considered.
3–5 years of relevant experience with a bachelor’s degree, or 1–3 years with a related master’s degree.
Experience with geospatial or imagery data is required only for assignments that use those sources; experience with comparable structured and unstructured data is acceptable otherwise.
Experience writing code in Python, R, Scala, JavaScript, or C++, with documentation for reproducibility; ability to write readable, tested, and documented code using Git.
Strong knowledge and experience with visual programming or object-oriented modeling workflows to automate data acquisition.
Practical experience with ETL/ELT workflows, relational data, and common structured or semi-structured data formats.
Ability to apply data validation and analytical techniques to investigate data quality issues and assess solution results.
Experience developing, testing, and supporting data pipelines or integrations in a team environment.
Ability to select and apply appropriate data transformation approaches, explain tradeoffs, and recognize when an issue needs senior review.
Working knowledge of data modeling, metadata, or data catalog concepts.
Exposure to cloud data platforms or tools such as AWS, Spark, Hadoop, Hive, Elasticsearch, or Tableau; specific tools depend on the assigned work.

Nice To Haves

AI/ML experience.
Knowledge of metadata standards.
Knowledge and experience with search tools, search results organization, and the implications of metadata organization, indexing, and catalog content.
Experience in GIS-related applications.

Responsibilities

Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations.
Develop and maintain API connectors and integrations that ingest data from internal platforms and external services.
Create and improve data models and processing workflows to meet performance, scale, and reliability needs.
Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows.
Work with mission stakeholders, analysts, and architects to clarify requirements and deliver maintainable technical solutions.
Troubleshoot pipeline and data integration issues, support production deployments, and communicate risks or complex issues to the team.