> Markdown version of [/jobs/ext/4585148-junior-data-engineer](https://www.wearedevelopers.com/jobs/ext/4585148-junior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Data Engineer - **Company:** The Bison Group - **Location:** Springfield, VA, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Information Systems, Data Validation, Data Integration, Extract Transform Load (ETL), Data Transformation, Relational Databases, Elasticsearch, Geospatial Intelligence, Visual Programming Language (VPL), Apache Hadoop, Apache Hive, Python (Programming Language), Metadata, Metadata Standards, Object-Oriented Software Development, Cloud Services, Scala (Programming Language), Software Deployment, Systems Integration, Tableau (Software), Unstructured Data, Apache Spark, Indexer, Git, Semi-structured Data, Information Technology, Data Delivery, Software Coding, Data Pipelines - **Published:** November 5, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9291706/junior-data-engineer ## About the Role * 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: * TS/SCI CI Poly 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: 1-3 years of relevant experience with a bachelor'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 ## Description As a Junior 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., * 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