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Information Operations Data Engineer

Stuttgart, Baden-Wurttemberg

Actively hiring, first seen by us today
Pay
USD 77,500–176,000/year — pay source
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement
Read the full posting
Work setting
Not stated
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 onlyTS/SCI clearance is required
Education & alternatives
- TS/SCI clearance - Bachelor’s degree Nice If You Have:
Apply at Booz Allen Hamilton

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 7, 2026today
Recorded sightings
1

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 0

Early. Similar jobs usually come down between day 6 and day 54.

At Booz Allen Hamilton, jobs usually come down by about day 34.

From 11,508 similar postings that came down, and 575 of Booz Allen Hamilton’s. Coming down is not always a hire.

Booz Allen Hamilton is hiring

220 open jobs

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

  • Takes jobs down at a usual pace
  • 13% of open jobs were reposted
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.

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Databricks
  • Hadoop
  • Hive
  • Kafka
  • Spark
Where the posting names them
Nice If You Have: - Experience with Python, SQL, Scala, or Java - Experience working with Department of War customers
- Experience with geospatial data - Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka - Experience working on real-time data and streaming applications

Your next step

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Has Booz Allen Hamilton posted this job before?

Yes. We’ve followed 2 other Information Operations Data Engineer jobs there since August 2026. One came down after 49 days. One is still up.

  1. StuttgartCame down after 49 days, first seen Aug 27
  2. StuttgartStill up after 24 days, first seen Oct 14
  3. This jobUp 0 days so far, first seen Nov 7

About Booz Allen Hamilton

People
About 31,500 in 2026, down 12% from the year before.Annual report (SEC Form 10-K)
Company
Listed as BAH.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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 ↗

Information Operations Data Engineer

The Opportunity: 

In today’s operational environment, mission owners rely on timely, trustworthy, and scalable data capabilities to plan, decide, and act. As a forward‑deployed Data Engineer, you will partner directly with end users to help them build, operate, and maintain high performance, scalable, and reliable data solutions that meet evolving mission demands. You won’t just write code, you will own the full lifecycle of data and AI solution delivery, from requirements discovery and synthesis to development, test and evaluation, deployment, training, sustainment, and eventual sunsetting. 


You will guide customers through emerging technologies, helping them understand what is possible while rapidly engineering solutions tailored to their workflows. You’ll support multiple concurrent projects, switching seamlessly between full‑stack development, data science, data engineering, modeling and simulation, and agentic AI workflows, always selecting the right tool for the right problem. You will continually explore and integrate new services, platforms, and capabilities within the customer’s ecosystem to ensure long‑term mission resilience. 


If you thrive in fast‑paced, ambiguous, highly collaborative environments and enjoy working directly with mission users to co‑create operational tools, this role is your opportunity to drive impact at the source of the mission. 


Join us. The world can’t wait. 


You Have:   

  • 5+ years of experience with application development and full‑stack engineering in production environments 
  • 5+ years of experience developing, operationalizing, and maintaining complex, enterprise-scale data applications, architectures, and pipelines, such as Palantir, including Foundry, AIP, or Gotham, and War Data Platform, such as Advana
  • 5+ years of experience building ETL and ELT pipelines, data transformation workflows, and solutions for structured and unstructured data processing at scale
  • 3+ years of experience working embedded with end users
  • 2+ years of experience building and deploying agentic AI workflows, autonomous data pipelines, and modeling and simulation systems into production
  • Experience supporting the full lifecycle of technical product development, including requirements gathering, decomposition, synthesis, development, testing, deployment, training, sustainment, and decommissioning and migration
  • Experience working directly with senior mission stakeholders, translating requirements and communicating dense technical information to non‑technical and technical audiences
  • TS/SCI clearance 
  • Bachelor’s degree

Nice If You Have:   

  • Experience with Python, SQL, Scala, or Java 
  • Experience working with Department of War customers 
  • Experience working at a Combatant Command or in an international environment 
  • Experience with geospatial data
  • Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka 
  • Experience working on real-time data and streaming applications  
  • Experience with Agile engineering practices

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.  

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.


Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
  • Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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Location & working pattern

Stuttgart, Baden-Wurttemberg

Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. - Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
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