Data Engineer (Hiring Event- EXTENDED)
National Geospatial-Intelligence Agency
Posted: February 13, 2026 (8 days ago)
Added to FreshGovJobs: February 17, 2026 (3 days ago)
This job has been posted for 1-2 weeks. Still a good time to apply.
National Geospatial-Intelligence Agency
Department of Defense
Location
Saint Louis, Missouri
Salary
$76,573 - $158,322
per year
Type
Full-Time
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This job involves building and maintaining large-scale data systems, like databases and processing pipelines, to handle massive amounts of information for intelligence purposes at a defense agency.
Data Engineers in this role design ways to store, access, and integrate data efficiently, solving issues with unstructured datasets.
It's a good fit for someone with a technical background in computer science or engineering who enjoys problem-solving with data technologies and has at least a few years of hands-on experience.
Data Engineers develop, construct, test, and maintain architectures such as databases and large-scale data processing systems.
They create pipelines of common architecture and infrastructure to optimize data for consumption through the design and construction of massive reservoirs for big data.
They solve problems associated with database access and integration and unstructured data sets to provid MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required).
Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement: 1.
Demonstrated experience utilizing standards and best practices for data interfaces such as extract-transform-load (ETL) and application programming interfaces (API). 2.
Demonstrated experience working with data storage, access and exchange technologies, e.g. S3, FTP WFS, FeatureServer, Elasticsearch, SDK, etc. 3.
Demonstrated ability to develop, modify, or evaluate data and data structures. EDUCATION REQUIREMENT: A.
Education: Bachelor's degree from an accredited college or university in Computer Science, Data Science, Engineering, Information Science, Information Systems Management, Mathematics, Operations Research, Physical Sciences, Statistics, Technology Management, or a degree that provided a minimum of 24 semester hours in one or more of the fields identified above and required the development or adaptation of applications, systems, or networks.
-OR- B.
Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience in developing, constructing, testing and maintaining architectures and/or related technologies, or in a related field that demonstrates the ability to successfully perform the duties associated with this work.
As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. -OR- C.
Experience: A minimum of 4 years of experience in developing, constructing, testing and maintaining architectures and/or related technologies, or in a related field that demonstrates the ability to successfully perform the duties associated with this work.
-AND- IT-related experience demonstrating each of the four competencies: Attention to Detail, Customer Service, Oral Communication, and Problem Solving.
DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: 1.
Demonstrated experience implementing, configuring, or designing databases with one or more current database technologies.
e.g., relational (Oracle, MySQL, Postgresql, etc.), noSQL (MongoDB, Accumulo, Elastic, etc.), graph (Allegrograph, JanusGraphy, Neo4J, etc.). 2.
Demonstrated experience with coding and scripting languages such as Python, JSON, BASH, and/or PowerShell. 3.
Certification in cloud native services such as Amazon Web Services (AWS), containers, Kubernetes, DevSecOps pipeline tooling, and/or microservices architecture Major Duties:
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