Data Engineer

Company: Booz Allen Hamilton
Location: Honolulu
Posted on: April 1, 2026

Job Description:

Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer or Data Scientist to support mission-critical projects leveraging Palantir Foundry. In this role, you will work closely with stakeholders to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. You’ll contribute to the full software development lifecycle, from requirements gathering to deployment and maintenance. What You'll Work On: Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data. Build modular applications and workflows leveraging TypeScript, Python, and Foundry AIP. Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ontology mapping. Utilize code repositories such as Git to manage and version control development efforts. Assist in Foundry workshops to guide stakeholders through platform capabilities. Support testing, debugging, and performance tuning of Foundry applications. Work in Agile development environments, contributing to sprint planning and retrospectives. Join us. The world can’t wait. You Have: 1 years of experience with Palantir Foundry Experience with Python or TypeScript Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem Experience with Git-based code repositories and CI/CD workflows Ability to work in fast-paced, Agile environments Secret clearance Associate's degree and 1 years of experience with data engineering, including application, or software development in a professional work environment, or 3 years of experience with data engineering, including application, or software development in a professional work environment in lieu of a degree Nice If You Have: Experience with the DoD Experience working with Maven Smart Systems and Foundry AIP Experience working with SharePoint, Dataverse, and Microsoft Power Platform Experience working in mission-oriented analytics or logistics-based data environments Experience with data modeling, ontology mapping, or data visualization within Foundry Knowledge of DevSecOps best practices and software lifecycle methodologies Possession of excellent problem-solving skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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, 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.

Keywords: Booz Allen Hamilton, Honolulu , Data Engineer, Engineering , Honolulu, Hawaii