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ME00559-Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Citizens onlyMust have active Top Secret/SCI clearance

What you’ll work on

Full posting
  • 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 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

Preferred experience

  • 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
Qualification wording
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
Education & alternatives
- 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
Apply at Momentum Engineering

Posting record

Report an error

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.

Status in our records
Live
First seen by us
Jun 2, 2026164 days ago
Recorded sightings
184
Last seen by us
Nov 13, 2026
Employer says posted
Mar 13, 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 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

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.

Momentum Engineering is hiring

21 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
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.

  • Python
  • SQL
  • AWS
  • Docker
  • DynamoDB
  • Elasticsearch
  • Kafka
  • Kubernetes
  • MongoDB
  • PostgreSQL
  • Redis
  • Redshift
  • S3
  • Airflow
  • pandas
Where the posting names them
- 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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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 860, the most 1,354, and the latest week had 1,335.
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 ↗

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

  • Seeking a data engineer to work in a variety of settings to develop and design data pipelines to support end-to-end solutions
  • Candidate will build systems that collect, manage, and convert raw data into usable information for multiple purposes to include but not limited to, IT application usage, reporting, applicant processing, etc.

Primary Responsibilities

  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Develop and design data pipelines to support an end-to-end solution
  • 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
  • Design and develop robust and functional dataflows to support raw data and expected data
  • Provide Tier 3 technical support for deployed applications and dataflows
  • Define and communicate a clear product vision for our client’s software products, aligning with user needs and business objectives
  • Create and manage product roadmaps that reflect both innovation and growth strategies
  • Partner with a government product owner and a product team of 7-8 FTEs
  • Collaborate with the rest of data engineering team to design and launch new features
  • Coordinate and document dataflows, capabilities, etc.  
  • Occasionally (as needed) support to off-hours deployment such as evening or weekends

Required Qualifications

  • 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
  • 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
  • Experience with Agile development methodology
  • Publishing and/or presenting design reports
  • Coordinating with other team members to reach project milestones and deadlines
  • Working knowledge with Collaboration tools, such as, Jira and Confluence

Desired Qualifications

  • Master’s degree or equivalent experience in a related field
  • Familiarity and experience with the Intelligence Community (IC), and the intel cycle
  • Familiarity and experience with the Department of Homeland Security (DHS)
  • Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred)
  • Experience with cloud message APIs and usage of push notifications
  • Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security
  • Working knowledge with public keys and digital certificates 
  • Experience with DevOps environments  
  • Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications 
  • Experience with cloud message APIs and usage of push notifications
  • Specialization in Object Oriented Programming languages, scripting, and databases

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.

Source details

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Location & working pattern

Washington, DC

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