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
Arlington, VA
Live, first seen by us 27 days ago- Pay
$45.38–49.64/hour — pay source
Pay Range $45.38 per hour to $49.64 per hour, depending on experience, education and clearance level.
Read the full posting- Work setting
Working pattern needs review — work setting source
Work Schedule and Location: Hybrid: This role is based in Arlington, Virginia and works on a hybrid schedule, typically 1–2 days on site per month, with the balance remote. We are looking for someone in the National Capital Region who can be on site when the mission calls for it, not only on a fixed schedule. Working alongside the government team in person is part of how this role builds the relationships the work depends on. Responsibilities
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
Active Secret clearance
What you’ll work on
Full postingCollect, clean, and transform raw data into actionable information
Validate data quality and analyze data patterns to keep information accurate
Troubleshoot data workflows and support stable analytics pipelines
Visualize and report data findings, sometimes building automated reports
Apply data mining, modeling, NLP, and machine learning to large datasets
From the employer’s posting
Collect, clean, and transform raw data into meaningful, actionable information.
Analyze data patterns and validate data quality to keep information accurate and reliable.
Assist with troubleshooting data workflows and support senior data scientists in maintaining stable, well-governed analytics pipelines.
Visualize, interpret, and clearly report data findings, occasionally developing dynamic or automated data reports for stakeholders.
Apply foundational data mining, data modeling, natural language processing, and machine learning techniques to extract insights from large structured and unstructured datasets.
What you’ll bring
All qualificationsCore experience
- Understanding of basic analytical concepts such as data mining, machine learning fundamentals, NLP techniques, and data modeling.
- Familiarity with audit workflows, financial data environments, or systems involving structured and semi-structured data integrations.
- Ability to perform data validation, identify anomalies, and support data-quality governance under guidance from senior team members.
- Experience collaborating with cross-functional teams and translating business requirements into basic analytical or software tasks.
- Ability to interpret trends, visualize results, and communicate data findings using dashboards and modern visualization tools.
- Experience building lightweight scripts or prototypes that automate small analytical tasks or data transformations.
Qualification wording
Understanding of basic analytical concepts such as data mining, machine learning fundamentals, NLP techniques, and data modeling.
Familiarity with audit workflows, financial data environments, or systems involving structured and semi-structured data integrations.
Ability to perform data validation, identify anomalies, and support data-quality governance under guidance from senior team members.
Experience collaborating with cross-functional teams and translating business requirements into basic analytical or software tasks.
Ability to interpret trends, visualize results, and communicate data findings using dashboards and modern visualization tools.
Experience building lightweight scripts or prototypes that automate small analytical tasks or data transformations.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 17, 202627 days ago
- Recorded sightings
- 37
- Last seen by us
- Nov 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
Time since we first saw it
Day 27
Similar jobs usually come down between day 6 and day 56.
From 13,603 similar postings that came down. Coming down is not always a hire.
FedWriters is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
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
- R
- SQL
- Databricks
- Spark
Where the posting names them
Overview Ready to launch your data career on work that matters to national defense? As FWI’s Data Engineer on the DA2I program, you’ll collect, clean, and transform raw data into the trusted, well-governed datasets that power financial management decisions across the Department of War. If you want your Python, SQL, and Databricks skills to support a real DoW mission, not just another reporting task, this is the seat. FWI is building a team to support the Department of War Comptroller and as a Data Engineer, you will play a crucial role in building and maintaining reliable datasets and analytics pipelines, using Python, SQL, R, Databricks, and Spark to improve data quality, availability, and reporting for mission-critical decision-making
Ready to launch your data career on work that matters to national defense? As FWI’s Data Engineer on the DA2I program, you’ll collect, clean, and transform raw data into the trusted, well-governed datasets that power financial management decisions across the Department of War. If you want your Python, SQL, and Databricks skills to support a real DoW mission, not just another reporting task, this is the seat. FWI is building a team to support the Department of War Comptroller and as a Data Engineer, you will play a crucial role in building and maintaining reliable datasets and analytics pipelines, using Python, SQL, R, Databricks, and Spark to improve data quality, availability, and reporting for mission-critical decision-making FWI is expanding rapidly and has been recognized as a 2024, 2025 and 2026 Top Workplace, offering excellent growth opportunities in a collaborative environment.
- Up to 3 years of directly related experience and a B.A./B.S. degree. - Up to 3 years of foundational experience using Python, SQL, R, or similar languages for data manipulation, ETL, or analytics workflows. - Exposure to data-processing frameworks or platforms (e.g., Databricks, Spark, or equivalent) and familiarity with mapping raw-to-scrubbed data stages.
- Up to 3 years of foundational experience using Python, SQL, R, or similar languages for data manipulation, ETL, or analytics workflows. - Exposure to data-processing frameworks or platforms (e.g., Databricks, Spark, or equivalent) and familiarity with mapping raw-to-scrubbed data stages. - Understanding of basic analytical concepts such as data mining, machine learning fundamentals, NLP techniques, and data modeling.
Your next step
Complete your application on careers-fedwriters.icims.com. The employer’s form will show what is required.
Applying through iCIMS
- You start with your email. New applicants then create a login, and returning ones sign in.
- Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
- Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.
Already applied? Track this application
Has FedWriters posted this job before?
Yes. We’ve followed one other Data Engineer job there since September 2026. It is still up.
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
Overview
Ready to launch your data career on work that matters to national defense? As FWI’s Data Engineer on the DA2I program, you’ll collect, clean, and transform raw data into the trusted, well-governed datasets that power financial management decisions across the Department of War. If you want your Python, SQL, and Databricks skills to support a real DoW mission, not just another reporting task, this is the seat.
FWI is building a team to support the Department of War Comptroller and as a Data Engineer, you will play a crucial role in building and maintaining reliable datasets and analytics pipelines, using Python, SQL, R, Databricks, and Spark to improve data quality, availability, and reporting for mission-critical decision-making
FWI is expanding rapidly and has been recognized as a 2024, 2025 and 2026 Top Workplace, offering excellent growth opportunities in a collaborative environment.
Work Schedule and Location:
Hybrid: This role is based in Arlington, Virginia and works on a hybrid schedule, typically 1–2 days on site per month, with the balance remote. We are looking for someone in the National Capital Region who can be on site when the mission calls for it, not only on a fixed schedule. Working alongside the government team in person is part of how this role builds the relationships the work depends on.
Responsibilities
- Collect, clean, and transform raw data into meaningful, actionable information.
- Help implement analytical techniques and applications that use data-oriented programming languages, visualization tools, and modern computational methods.
- Apply foundational data mining, data modeling, natural language processing, and machine learning techniques to extract insights from large structured and unstructured datasets.
- Visualize, interpret, and clearly report data findings, occasionally developing dynamic or automated data reports for stakeholders.
- Analyze data patterns and validate data quality to keep information accurate and reliable.
- Assist with troubleshooting data workflows and support senior data scientists in maintaining stable, well-governed analytics pipelines.
- Improve data availability, transparency, and mission-critical decision-making across enterprise systems.
Qualifications
Required:
- Up to 3 years of directly related experience and a B.A./B.S. degree.
- Up to 3 years of foundational experience using Python, SQL, R, or similar languages for data manipulation, ETL, or analytics workflows.
- Exposure to data-processing frameworks or platforms (e.g., Databricks, Spark, or equivalent) and familiarity with mapping raw-to-scrubbed data stages.
- Understanding of basic analytical concepts such as data mining, machine learning fundamentals, NLP techniques, and data modeling.
- Ability to perform data validation, identify anomalies, and support data-quality governance under guidance from senior team members.
- Ability to interpret trends, visualize results, and communicate data findings using dashboards and modern visualization tools.
- Active Secret clearance.
Desired:
- Exposure to mission-focused analytics platforms and large-scale enterprise datasets.
- Familiarity with audit workflows, financial data environments, or systems involving structured and semi-structured data integrations.
- Experience collaborating with cross-functional teams and translating business requirements into basic analytical or software tasks.
- Experience building lightweight scripts or prototypes that automate small analytical tasks or data transformations.
FWI is an Equal Opportunity Employer, including disability/vets.
Why Join Our Team
At FWI, we place the highest importance on creating an exceptional employee experience. You'll have opportunities to achieve your career aspirations through internal promotions, professional development, and other recognition and rewards programs. Join our team and take advantage of the many benefits we offer, including:
- Health Insurance
- Dental Insurance
- Vision Insurance
- Long-term and Short-term Disability Insurance
- Life Insurance
- 401(k) Plan
- Holiday Pay
- Paid Time Off
Pay Range
$45.38 per hour to $49.64 per hour, depending on experience, education and clearance level.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Range $45.38 per hour to $49.64 per hour, depending on experience, education and clearance level.
- Location & working pattern
Arlington, VA
Work Schedule and Location: Hybrid: This role is based in Arlington, Virginia and works on a hybrid schedule, typically 1–2 days on site per month, with the balance remote. We are looking for someone in the National Capital Region who can be on site when the mission calls for it, not only on a fixed schedule. Working alongside the government team in person is part of how this role builds the relationships the work depends on. Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.