Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,232 postings in the last year. Stated ranges, not salaries paid.
Springfield, VA
Actively hiring, first seen by us 4 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Design, build, test, and maintain data pipelines and ETL/ELT workflows
Develop and maintain API connectors and integrations for internal and external data
Create and improve data models and processing workflows
Implement data validation, quality checks, monitoring, and documentation
Troubleshoot pipeline and data integration issues and support production deployments
Design, build, test, and maintain data pipelines and ETL/ELT workflows
Develop and maintain API connectors and integrations that ingest data from internal platforms and external services
Create and improve data models and processing workflows
Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows
Troubleshoot pipeline and data integration issues, support production deployments
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
Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field; equivalent education and experience may be considered
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
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
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
- 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:
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,232 postings in the last year. Stated ranges, not salaries paid.
Day 4
Early. Similar jobs usually come down between day 5 and day 54.
At The Bison Group, jobs usually come down by about day 8.
From 12,127 similar postings that came down, and 13 of The Bison Group’s. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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:
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Description
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:
Requirements
Clearance Required:
Minimum Education:
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 you’d like to view a copy of the company’s affirmative action plan for protected veterans/individuals with disabilities or our policy statement, please email EEO@bisongroupusa.com. 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 Accessibiity@bisongroupusa.com. 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).
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Springfield, VA
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