Data Engineer

Booz Allen Hamilton; Ramstein-Miesenbach; Vor Ort; EUR 67.000 - 152.000; Vollzeit

Zusammenfassung

Booz Allen Hamilton is seeking an experienced Data Engineer to build and operate data pipelines across disparate sources, supporting mission-driven projects with a focus on applied production AI. You will collaborate with analysts, developers, and data consumers in a fast-paced, agile environment while guiding a multidisciplinary team.

Requirements include 3+ years in data engineering or related fields, strong Python/SQL/Scala/R skills, and 2+ years with visualization tools.

Qualifikationen

• 3+ years of experience in data engineering, application development, or data science.
• 3+ years designing, developing, operationalizing, and maintaining data apps for reporting and analytics at enterprise scale.
• 3+ years of experience with Python, SQL, Scala, or R.
• 2+ years with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS.
• Experience collaborating in a cross-functional team.
• Ability to travel up to 25% of the time.
• TS/SCI clearance and a Bachelor's degree.

Aufgaben

• Implement data engineering activities on mission-driven projects.
• Design, deploy, and maintain data pipelines and workflows for disparate data sources.
• Guide a multidisciplinary team of analysts, data engineers, developers, and data consumers.
• Work in a fast-paced, agile environment and support production AI efforts.
• Manage assessment, design, build, and maintenance of analytic solutions for clients.

Kenntnisse

Data engineering

Python

SQL

Scala

R

Data pipelines

Cross-functional teamwork

Travel up to 25%

TS/SCI clearance

Ausbildung

Bachelor's degree

Tools

Tableau

Qlik

Power BI

ArcGIS

Spark

Databricks

Hadoop

Hive

AWS EMR

Kafka

Palantir Foundry

Gaia

Jobbeschreibung

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions.

Job Number: R0248358

Data Engineer

The Opportunity

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions.

As a Data Engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and workflows that organize and make disparate data meaningful, with a distinct focus on applied production AI. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of analytic solutions for your clients.

Work with us to use data for good.

Join us. The world can’t wait.

You Have:

• 3+ years of experience in a data engineering, application development, or data science field
• 3+ years of experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale
• 3+ years of experience with Python, SQL, Scala, or R
• 2+ years of experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS
• Experience creating solutions within a collaborative, cross-functional team environment
• Ability to travel up to 25% of the time
• TS/SCI clearance
• Bachelor's degree

Nice If You Have:

• Experience with Palantir tools, such as Foundry or Gaia
• Experience with Large Language Models, including both applied and theoretical
• Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
• Experience in delivery with the U.S. Air Force or Department of Defense

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.