Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Washington, Washington, DC, US
Live, first seen by us 55 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Citizens only
Clearance: Must possess and maintain a TS-SCI clearance
- Eligibility
All applicants must reside in the United States at the time of application. — eligibility source
All applicants must reside in the United States at the time of application.
Read the full posting
What you’ll work on
Full postingDesign and build end-to-end data pipelines for structured and unstructured data
Build and maintain ETL processes that ensure data quality and performance
Support database administration, including performance tuning, indexing, and access control
From the employer’s posting
Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data
Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments
Support database management and administration tasks such as performance tuning, indexing, and access control
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in computer science, Engineering, Information Systems, or a related field
- 4–8 years of relevant experience in data engineering, ETL development, or database administration
- Proficiency in Amazon Web Services (AWS) and cloud-based data integration
- Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
- Solid understanding of database management, including schema design, indexing, and optimization
- Experience with API development and integration
Qualification wording
Bachelor’s degree in computer science, Engineering, Information Systems, or a related field
4–8 years of relevant experience in data engineering, ETL development, or database administration
Proficiency in Amazon Web Services (AWS) and cloud-based data integration
Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
Solid understanding of database management, including schema design, indexing, and optimization
Experience with API development and integration
Education & alternatives
- Clearance: Must possess and maintain a TS-SCI clearance - Bachelor’s degree in computer science, Engineering, Information Systems, or a related field - 4–8 years of relevant experience in data engineering, ETL development, or database administration
About Bigbear.ai Holdings
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 10, 202655 days ago
- Recorded sightings
- 124
- Last seen by us
- Nov 4, 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
Time since we first saw it
Day 55
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Bigbear.ai Holdings is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- AWS
- Redshift
- S3
Where the posting names them
Overview BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You’ll work across cloud environments, databases, and development teams to support mission-critical applications, analytics, and reporting. This position requires expertise in ETL development, AWS cloud services, and database management, along with a strong foundation in Agile software development practices. What you will do
- Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments. - Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing. - Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation.
- 4–8 years of relevant experience in data engineering, ETL development, or database administration - Proficiency in Amazon Web Services (AWS) and cloud-based data integration - Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
Your next step
Complete your application on careers-bigbearai.icims.com. The employer’s form will show what is required.
Applying through Jibe
- Jibe runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Has Bigbear.ai Holdings posted this job before?
Yes. We’ve followed 2 other Data Engineer jobs there since September 2026. All 2 are still up.
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
Residency
Overview
What you will do
What you need to have
What we'd like you to have
Pay transparency
About BigBear.ai
All applicants must reside in the United States at the time of application.
Overview
BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You’ll work across cloud environments, databases, and development teams to support mission-critical applications, analytics, and reporting. This position requires expertise in ETL development, AWS cloud services, and database management, along with a strong foundation in Agile software development practices.
What you will do
- Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices.
- Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments.
- Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing.
- Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation.
- Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems.
- Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures.
- Support database management and administration tasks such as performance tuning, indexing, and access control.
- Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs.
- Develop and integrate APIs to support data access and interoperability across systems.
- Work with cloud messaging APIs and implement push notification mechanisms where applicable
- Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes
What you need to have
- Clearance: Must possess and maintain a TS-SCI clearance
- Bachelor’s degree in computer science, Engineering, Information Systems, or a related field
- 4–8 years of relevant experience in data engineering, ETL development, or database administration
- Proficiency in Amazon Web Services (AWS) and cloud-based data integration
- Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
- Solid understanding of database management, including schema design, indexing, and optimization
- Experience with API development and integration
- Ability to manage and transform raw data into usable formats for analytics and reporting
- Familiarity with Agile methodologies and collaborative development environments
- Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems
What we'd like you to have
- Experience with cloud messaging APIs and push notification systems
- Hands-on experience with database administration and performance tuning
- Keen interest in learning and applying the latest data tools and technologies to solve real-world problems
- Experience supporting technical support functions related to data infrastructure
- Familiarity with national security or mission-driven data environments
Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Washington, Washington, DC, US
Residency All applicants must reside in the United States at the time of application. Overview
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.