Information Operations Data Engineer

Booz Allen Hamilton; Stuttgart; Vor Ort; EUR 67.000 - 151.000; Vollzeit

Zusammenfassung

Booz Allen Hamilton is seeking an experienced Data Engineer to own the full lifecycle of data and AI solution delivery. You will work directly with mission stakeholders to design, deploy, and sustain high-performance data systems, guiding customers through evolving technologies and ensuring solutions fit their workflows.

You will engage across full-stack development, data science, modeling and simulation, and agentic AI workflows, selecting the right tools for each problem while maintaining

Qualifikationen

• 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 (Palantir Foundry, AIP, Gotham, Advana).
• 5+ years of experience building ETL/ELT pipelines and data transformation workflows at scale.
• 3+ years of experience working directly with senior mission stakeholders, translating requirements for technical audiences.

Aufgaben

• Own the full lifecycle of data and AI solution delivery from requirements discovery to deployment and sustainment.
• Guide customers through emerging technologies and tailor solutions to workflows.
• Collaborate across multiple projects, switching between full‑stack development, data science, and AI workflows.

Kenntnisse

Full-stack engineering

Data applications

ETL/ELT pipelines

Stakeholder communication

Ausbildung

Bachelor’s degree

Tools

Palantir Foundry

AIP

Gotham

Advana

Jobbeschreibung

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

In today’s operational environment, mission owners rely ontimely, trustworthy, and scalable data capabilities to plan, decide, and act. As aforward‑deployedData Engineer, you will partner directly with end usersto help them build,operate, andmaintainhighperformance, scalable, and reliable data solutions that meet evolving mission demands. Youwon’tjust 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 throughemergingtechnologies, helping them understand what is possible while rapidly engineering solutions tailored to their workflows.You’llsupport multiple concurrent projects, switching seamlessly betweenfull‑stackdevelopment, data science, data engineering, modelingandsimulation, 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 ensurelong‑termmission resilience.

If you thrive infast‑paced, ambiguous, highly collaborative environments and enjoy working directly with mission users toco‑createoperational 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 andfull‑stackengineering 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/ELT pipelines, data transformation workflows, and solutions for structured and unstructured data processing at scale

3+ years of experience working directly with senior mission stakeholders, translating requirements and communicating dense technical information clearly to non‑technical and technical audiences

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, including designing and implementing multi‑agent orchestration on top of existing LLM platforms

Experience supporting the full lifecycle of technical product development, including requirements gathering, decomposition, synthesis, development, testing, deployment, training, sustainment,anddecommissioning and migration

Ability to rapidly learn new platforms and navigate tool ecosystems and remaining platform agnostic

TS/SCI clearance

Nice If You Have:

Experience with Python, SQL, Scala, or Java

Experience working with Department of Warcustomers

Experience working at a Combatant Command or in an international environment

Experience with geospatial data

Experience with military exercises

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 synthetic or bootstrapped data method

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.

Information Operations Data Engineer

The Opportunity:

In today’s operational environment, mission owners rely ontimely, trustworthy, and scalable data capabilities to plan, decide, and act. As aforward‑deployedData Engineer, you will partner directly with end usersto help them build,operate, andmaintainhighperformance, scalable, and reliable data solutions that meet evolving mission demands. Youwon’tjust 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 throughemergingtechnologies, helping them understand what is possible while rapidly engineering solutions tailored to their workflows.You’llsupport multiple concurrent projects, switching seamlessly betweenfull‑stackdevelopment, data science, data engineering, modelingandsimulation, 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 ensurelong‑termmission resilience.

If you thrive infast‑paced, ambiguous, highly collaborative environments and enjoy working directly with mission users toco‑createoperational 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 andfull‑stackengineering 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/ELT pipelines, data transformation workflows, and solutions for structured and unstructured data processing at scale

• 3+ years of experience working directly with senior mission stakeholders, translating requirements and communicating dense technical information clearly to non‑technical and technical audiences

• 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, including designing and implementing multi‑agent orchestration on top of existing LLM platforms

• Experience supporting the full lifecycle of technical product development, including requirements gathering, decomposition, synthesis, development, testing, deployment, training, sustainment,anddecommissioning and migration

• Ability to rapidly learn new platforms and navigate tool ecosystems and remaining platform agnostic

• TS/SCI clearance

• Bachelor’s degree

Nice If You Have:

• Experience with Python, SQL, Scala, or Java

• Experience working with Department of Warcustomers

• Experience working at a Combatant Command or in an international environment

• Experience with geospatial data

• Experience with military exercises

• 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 synthetic or bootstrapped data method

• 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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.