Booz Allen Hamilton

Data Engineer, Senior

Booz Allen Hamilton Arlington, Virginia, United States · $78K–$176K/yr

Software Development · 10,001+ employees

2 h ago
data-engineer Senior (5-10 yrs) Full-time United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

You will architect and maintain scalable ETL/ELT pipelines using Palantir Foundry to transform unstructured data into production-ready analytics. Additionally, you will collaborate with data scientists to operationalize statistical models and ensure high performance across secure compute environments.

What they look for

Data engineering Palantir Foundry PySpark Python SQL ETL/ELT pipelines Data modeling Distributed systems Data governance Cloud computing Geospatial datasets CI/CD Statistical analysis Mathematical modeling Data quality Pipeline monitoring

Requirements

Candidates must have at least 5 years of experience in data engineering, proficiency in PySpark, Python, and SQL, and experience with distributed platforms like Palantir Foundry. A Bachelor's degree in Computer Science or Engineering and an active TS/SCI clearance are required.

Benefits

Health insurance Life insurance Disability insurance Financial benefits Retirement benefits Paid leave Professional development Tuition assistance Work-life programs Dependent care Recognition awards

Full description

Job Description

Remote Work:

No

Job Number:

R0251390

Location:

Arlington,VA,US

Data Engineer, SeniorThe Opportunity:

We are seeking a highly technical and mission‑driven senior Data Engineer to design, build, and optimize data infrastructure for a Service‑level Headquarters organization. In this role, you will leverage the Palantir Foundry ecosystem to transform highly unstructured, multi‑source data into scalable, production‑ready pipelines that power advanced analytics and a force-wide common operating picture (COP). You will architect and operationalize data solutions that enhance organizational insight into readiness, capacity, and force‑generation activities—helping senior leaders move from raw data to actionable, reliable information. This position is located in Arlington, VA.

What You’ll Work On:

  • Architect, build, and maintain scalable ETL/ELT pipelines using Palantir Foundry, including Pipeline Builder and Code Repositories, to ingest and process highly unstructured data sources.
  • Design, implement, and optimize the Foundry Ontology to ensure secure, logically structured data models that enable advanced analytics and Activity Based Intelligence (ABI).
  • Engineer high‑performance transformation logic using PySpark, Python, and SQL tailored for distributed, large‑scale data processing.
  • Collaborate with data scientists and analysts to operationalize statistical models and custom algorithms in secure production environments.
  • Diagnose and resolve system bottlenecks, ensuring high performance across both cloud and classified compute environments.
  • Establish data quality, validation frameworks, and automated pipeline monitoring to guarantee the integrity of inputs feeding analytics models.

Join us. The world can’t wait.

You Have:

  • 5+ years of experience with data engineering or big data
  • Experience in PySpark, Python, and SQL
  • Experience building complex data pipelines and transformations within distributed platforms such as Palantir Foundry
  • Experience structuring, formatting, and optimizing large-scale datasets for consumption by engineering teams and mathematical or statistical models
  • Knowledge of distributed systems, data warehousing concepts, and data governance in secure enclaves
  • TS/SCI clearance
  • Bachelor’s degree in Computer Science or Engineering

Nice If You Have:

  • Experience with AWS, Azure, or similar cloud computing architectures supporting large data platforms
  • Experience processing and scaling geospatial datasets for intelligence or operational mapping
  • Experience with CI/CD pipelines and version control best practices
  • Experience with DoW Global Force Management policies and processes
  • Knowledge of mathematical modeling and statistical analysis frameworks
  • Knowledge of DoW institutional datasets such as War Data Platform

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 $77,600.00 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.

About Us

Booz Allen is an advanced technology company. We build commercial-grade products and solutions for America’s most critical defense, civil, and national security priorities.

Applicants who need a reasonable accommodation for any part of the application, hiring, or employment process because of a disability, a sincerely held religious belief, practice, or observance, or as otherwise required by applicable law should contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to helpdesk@bah.com. We will review requests on an individualized basis and provide reasonable accommodations consistent with applicable law.

Similar roles