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Booz Allen Hamilton

Data Engineer

Booz Allen Hamilton

Honolulu, HI

·

On-site

·

Full-time

·

1d ago

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:

  • 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, or 3+ years of experience with data engineering, including application or software development, in lieu of a degree

Nice If You Have:

  • Experience with the DoD

  • Experience working with Maven Smart Systems

  • Experience working with Share Point, 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 Dev Sec Ops 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.

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关于Booz Allen Hamilton

Booz Allen Hamilton

Booz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.

10,001+

员工数

McLean

总部位置

$4.2B

企业估值

评价

3.8

10条评价

工作生活平衡

4.2

薪酬

2.8

企业文化

4.3

职业发展

2.5

管理层

3.7

72%

推荐给朋友

优点

Supportive management and colleagues

Good work-life balance and flexibility

Diverse and interesting projects

缺点

Low or non-competitive compensation

Limited growth and advancement opportunities

Long hours during peak projects

薪资范围

26个数据点

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Junior/L3 · Data Engineer

1份报告

$149,500

年薪总额

基本工资

$115,000

股票

-

奖金

-

$149,500

$149,500

面试经验

7次面试

难度

2.7

/ 5

时长

21-35周

录用率

43%

体验

正面 29%

中性 28%

负面 43%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Hiring Manager Interview

5

Team Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

System Design

Culture Fit