Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Engineer (FedD024)
United States - Remote
Live, first seen by us 25 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Listed location: United States - Remote
Read the full posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Federal Delivery — team source
Department: Federal Delivery
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
THIS POSITION WILL REQUIRE US CITIZENSHIP
What you’ll work on
Full postingDesign ETL/ELT data workflows and pipelines across AWS and on-prem
Deploy and operate Kafka, Redpanda, or Kinesis streaming on Kubernetes
Automate infrastructure provisioning, monitoring, and scaling with Terraform
Build backup and recovery strategies for data layer systems
Work with cybersecurity SMEs to defend the data layer against threats
From the employer’s posting
Designing data workflows, pipelines, and pathways to support ETL/ELT
Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes
automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform
including backup and recovery strategies
working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 19, 202625 days ago
- Recorded sightings
- 68
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Mar 20, 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 25
Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
Defense Unicorns is hiring
8 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
- Docker
- Kafka
- Kubernetes
- Terraform
Where the posting names them
Responsibilities: - Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments. - Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies
- Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations - Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments - Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats
- Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes - Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems Familiarity with API Security, Container Security, AWS Cloud Security Familiarity with cybersecurity principles and best practices for securing data layer systems - Excellent problem-solving skills, with the ability to work independently and as part of a team
- Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores - Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes - Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems Familiarity with API Security, Container Security, AWS Cloud Security Familiarity with cybersecurity principles and best practices for securing data layer systems
- Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies - Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations - Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments
*Preferred Experience and Qualifications: - Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes - Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores
- Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices - Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering Travel Expectations/Requirements: 6-10 times per year
- Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments - Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats - Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices
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.
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
EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.
Responsibilities:Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments.
Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies
Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations
Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments
Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats
Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices
Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering
Travel Expectations/Requirements: 6-10 times per year
The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise.
*Preferred Experience and Qualifications:
Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes
Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores
Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes
Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems Familiarity with API Security, Container Security, AWS Cloud Security Familiarity with cybersecurity principles and best practices for securing data layer systems
Excellent problem-solving skills, with the ability to work independently and as part of a team
Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical team members
The selected candidate will be subject to a pre-employment background check ("CBI") and must be able to obtain and maintain a Secret-level DoD security clearance
Experience with machine learning and generative AI models
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
United States - Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP. Responsibilities:
More source context
- Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical team members - The selected candidate will be subject to a pre-employment background check ("CBI") and must be able to obtain and maintain a Secret-level DoD security clearance - Experience with machine learning and generative AI models