As a Mid Data Engineer, you will 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 partner with experienced engineers and mission teams to improve reliable data delivery across cloud and enterprise environments.
Work Schedule:Monday - Friday 8am - 5pm
Essential 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 established 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
Requirements
- Experience with geospatial or imagery data is required only for assignments that use those sources; otherwise, experience with comparable structured and unstructured data is acceptable
- Experience writing code in Python, R, Scala, JavaScript, C++ with documentation for reproducibility, with the ability to write readable, tested, and documented code using Git
- Strong knowledge and experience of 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 the results of a solution
- 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
Clearance Required: Minimum Education: - Bachelor's or master's degree in computer science, information systems, engineering, mathematics, or a related field; equivalent education and experience may be considered
- Minimum Years of Experience: 3-5 years of relevant experience with a bachelor's degree, or 1-3 years with a related master's degree
Preferred Qualifications: • AI/ML experience
• Knowledge of metadata standards
• Knowledge and experience with Search tools, Search results organization and the implications of metadata organization, indexing, catalog content
• Experience in GIS-related applications
The Bison Group offers benefit options including medical, dental, vision, life, disability insurance, and accrued PTO including vacation, sick leave and holidays.
The listed pay range serves as a general guideline rather than a guaranteed salary. Final compensation is determined by a variety of factors including, but not limited to, role-specific responsibilities; candidate qualifications such as education, skills, and mission-aligned experience; market data, business considerations, internal equity, and any applicable legal or bargaining agreements (if any).
