Mid Data Engineer

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

• 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:

• Bachelors or masters degree in computer science information systems engineering mathematics or a related field; equivalent education and experience may be considered
• Minimum Years of Experience: 35 years of relevant experience with a bachelors degree or 13 years with a related masters 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 LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity pregnancy national origin age genetic information or protected veteran status and will not be discriminated against on the basis of disability. If youd like to view a copy of the companys affirmative action plan for protected veterans/individuals with disabilities or our policy statement please email . If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application please e-mail . This mailbox is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails sent for this purpose will be returned. Emails left for other purposes such as following up on an application or technical issues not related to a disability will not receive a response.

Disclaimer: This position offers a wage or salary range based on market data and internal pay policies. This range is a good-faith estimate and may vary depending on qualifications experience and other factors. We do not request or use prior compensation history in making employment decisions. Any voluntary disclosure of prior wage information may be considered to support a higher offer but will not be used to justify a lower offer.

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).