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.
Washington, DC
Open 5 months, first seen by us 164 days agoMust have active Top Secret/SCI clearance
Design and implement pipelines and infrastructure for scalability and automation
Develop and maintain schemas, data dictionaries, and ETL transforms
Integrate data pipelines with AWS cloud services
Provide Tier 3 technical support for deployed applications and dataflows
Support occasional off-hours deployments, such as evenings or weekends
Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes)
Integrate data pipelines with AWS cloud services to extract meaningful insights
Provide Tier 3 technical support for deployed applications and dataflows
Occasionally (as needed) support to off-hours deployment such as evening or weekends
Bachelor’s degree or equivalent practical experience
Experience with Agile development methodology
Expertise in distributed computing frameworks to handle large-scale data processing
Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments
Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies
Master’s degree or equivalent experience in a related field
Experience with DevOps environments
Familiarity and experience with the Intelligence Community (IC), and the intel cycle
Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications
- Must have active Top Secret/SCI clearance - Bachelor’s degree or equivalent practical experience - Expertise in distributed computing frameworks to handle large-scale data processing
Desired Qualifications - Master’s degree or equivalent experience in a related field - Familiarity and experience with the Intelligence Community (IC), and the intel cycle
Open 5 monthsWe first saw this posting 164 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
Day 164
Up longer than most. Similar jobs usually come down between day 6 and day 56.
At Momentum Engineering, jobs usually come down by about day 94.
From 13,630 similar postings that came down, and 7 of Momentum Engineering’s. Coming down is not always a hire.
21 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL - Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies - Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka
- Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments - Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL - Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies
- Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes) - Integrate data pipelines with AWS cloud services to extract meaningful insights - Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues
- Expertise in distributed computing frameworks to handle large-scale data processing - Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments - Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL
- Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies - Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka - Familiar with Linux/Unix server environments
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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.
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.
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.
Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.
Job Summary
Primary Responsibilities
Required Qualifications
Desired Qualifications
Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.
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Washington, DC
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.