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Senior 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

What you’ll work on

Full posting
  • Lead architecture, design, and operation of scalable data pipelines and ETL/ELT processes

  • Design and oversee API connectors that ingest data from internal platforms and external services

  • Set engineering approaches for data processing, storage, and database performance

  • Establish data quality, validation, monitoring, and governance practices

  • Lead diagnosis and resolution of complex pipeline and production performance incidents

From the employer’s posting
Lead the architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes
Design and oversee API connectors and integrations that ingest data securely from internal platforms and external services
Set engineering approaches for data processing, storage, and database performance
Establish and improve data quality, validation, monitoring, and governance practices across production data products
Lead diagnosis and resolution of complex data integration, pipeline, and production performance incidents

What you’ll bring

All qualifications

Core experience

  • Demonstrated ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD practices
  • Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related field plus 5–8 years of relevant experience; or a related master’s degree plus at least 3 years of relevant experience
  • Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations, including troubleshooting authentication and data exchange issues
  • Experience delivering and operating scalable production data pipelines across structured, semi-structured, or unstructured data
  • Experience designing API connectors and ingestion patterns that integrate enterprise applications and external services
  • Ability to own complex data engineering work from requirements and design through production operation, improving reliability and data quality

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
Demonstrated ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD practices
Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related field plus 5–8 years of relevant experience; or a related master’s degree plus at least 3 years of relevant experience
Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations, including troubleshooting authentication and data exchange issues
Experience delivering and operating scalable production data pipelines across structured, semi-structured, or unstructured data
Experience designing API connectors and ingestion patterns that integrate enterprise applications and external services
Ability to own complex data engineering work from requirements and design through production operation, improving reliability and data quality
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 degree in computer science, information systems, engineering, mathematics, or a related field plus 5–8 years of relevant experience; or a related master’s degree plus at least 3 years of relevant experience Minimum Years of Experience: At least 5 years with a bachelor’s degree, or at least 3 years with a related master’s degree
Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related field plus 5–8 years of relevant experience; or a related master’s degree plus at least 3 years of relevant experience Minimum Years of Experience: At least 5 years with a bachelor’s degree, or at least 3 years with a related master’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.

  • Java
  • Python
  • Scala
Where the posting names them
Requirements - Demonstrated ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD practices - Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations, including troubleshooting authentication and data exchange issues

Your next step

Complete your application on recruiting.paylocity.com. The employer’s form will show what is required.

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Already applied? Track this application

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 Senior 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 guide technical decisions, work across mission and engineering teams, and improve cloud-based data platforms.


Work Schedule:


Monday – Friday 8am – 5pm


 Essential Responsibilities:

  • Lead the architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes for analytics, reporting, and mission operations
  • Design and oversee API connectors and integrations that ingest data securely from internal platforms and external services
  • Set engineering approaches for data processing, storage, and database performance to meet scale, reliability, and latency needs
  • Establish and improve data quality, validation, monitoring, and governance practices across production data products
  • Partner with mission stakeholders, analysts, architects, and product teams to define requirements and guide technical solutions
  • Lead diagnosis and resolution of complex data integration, pipeline, and production performance incidents
  • Coordinate with security and compliance teams to build required protections and controls into data systems
  • Maintain architecture and operational documentation, and mentor engineers through design discussions and code reviews
  • Contribute to Agile planning and delivery, helping the team break down work and manage technical dependencies
  • Evaluate platform and tooling choices, explain tradeoffs, and recommend improvements to data architecture and engineering practices

Requirements

  

  • Demonstrated ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD practices
  • Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations, including troubleshooting authentication and data exchange issues
  • Strong engineering judgment and experience selecting data architectures and patterns for complex, evolving datasets
  • Experience delivering and operating scalable production data pipelines across structured, semi-structured, or unstructured data
  • Experience designing API connectors and ingestion patterns that integrate enterprise applications and external services
  • Ability to own complex data engineering work from requirements and design through production operation, improving reliability and data quality
  • Experience leading technical collaboration with analytics, data science, product, security, or mission teams and mentoring other engineers
  • Clear written and verbal communication skills, including the ability to explain technical decisions and tradeoffs

Clearance Required: 


  • TS/SCI CI Poly

Minimum Education: 


Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related field plus 5–8 years of relevant experience; or a related master’s degree plus at least 3 years of relevant experience

Minimum Years of Experience: At least 5 years with a bachelor’s degree, or at least 3 years with a related master’s degree


Preferred Qualifications:


•             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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Location & working pattern

Springfield, VA

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