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Data Engineer and Data Scientist

Data Engineer and Data Scientist

Booz Allen HamiltonHonolulu, HI, United States
2 days ago
Job type
  • Full-time
  • Part-time
Job description

Job Number : R0227487

Data Engineer and Data Scientist

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 fullsoftware 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 :

2+ years of experience with data engineering, including application or software development

2+ years of experience with Palantir Foundry

Experience working with Maven Smart Systems such as Foundry and AIP

Experience with PythonorTypeScript

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

Bachelor's degree

Nice If You Have :

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 andsoftware 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 $99,000.00 to $225,000.00 (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 application process, 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.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific 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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Data Scientist • Honolulu, HI, United States

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