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Junior Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Not stated

Before you apply

New graduates
Entry levelJob title: Junior Data Engineer

What you’ll work on

Full posting
  • Design, build, test and maintain data pipelines and ETL/ELT workflows

  • Develop and maintain API connectors that ingest data from internal and external sources

  • Create and improve data models and processing workflows for performance and reliability

  • Implement data validation, quality checks, monitoring and documentation

  • Troubleshoot pipeline and data integration issues and support production deployments

From the employer’s posting
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
Troubleshoot pipeline and data integration issues, support production deployments

What you’ll bring

All qualifications

Core experience

  • 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

Preferred 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
Qualification wording
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
Education & alternatives
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
- 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:
Apply at The Bison Group

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20264 days ago
Recorded sightings
4
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

The Bison Group is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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.

  • C++
  • JavaScript
  • Python
  • R
  • Scala
  • AWS
  • Elasticsearch
  • Hadoop
  • Hive
  • Spark
  • Tableau
Where the posting names them
- 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:

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,326, and the latest week had 1,326.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.


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: 

  • 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


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).

Source details

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Location & working pattern

Springfield, VA

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