Foundry Data Engineer — Build Scalable Pipelines

Booz Allen Hamilton; Atlanta (GA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton seeks a Palantir Data Engineer to design and operate scalable data pipelines in Foundry, using Python, PySpark, and TypeScript to unlock insights from complex datasets.

You will collaborate with cross-functional teams, translate requirements into scalable solutions, and participate in Agile processes with Jira. A Bachelor’s degree and eligibility for a Public Trust are required.

Qualifications

• 2+ years of experience in a professional technical environment.
• 1+ years of experience with Palantir Foundry and its applications, including Code Repository, Ontology Manager, and Workshop.
• Experience developing and maintaining data pipelines using Python and PySpark and applying software engineering and data engineering principles in enterprise environments
• Experience integrating, transforming, and managing large datasets from multiple data sources
• Experience translating business and customer requirements into scalable technical solutions
• Experience working in Agile delivery environments and tracking work using tools such as Jira
• Knowledge of fundamental programming principles, data structures, APIs, or web development concepts
• Ability to work take ownership and work independently to solve complex data challenges
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree

Responsibilities

• Design, develop, and maintain scalable data pipelines and workflows within Palantir Foundry using Python, PySpark, TypeScript, and related technologies.
• Import, integrate, clean, standardize, and manage data from multiple structured and unstructured data sources while resolving data quality issues.
• Build and maintain reusable code, transformation logic, Ontologies, and operational workflows using Foundry Code Repositories and version control best practices.
• Configure and optimize dashboards, Workshop applications, and visualizations to deliver actionable insights and improve business operations.
• Collaborate with cross-functional teams to translate business, functional, and technical requirements into scalable data solutions and platform capabilities.
• Participate in Agile delivery activities, including sprint planning, scrum ceremonies, Jira tracking, and collaboration with engineering and stakeholder teams to deliver high-quality solutions.

Skills

Palantir Foundry

Python

PySpark

TypeScript

Data pipelines

Jira

Agile

Data integration

Public Trust

Education

Bachelor's degree

Tools

Foundry Code Repository

Ontology Manager

Workshop

Databricks

Job description

Booz Allen Hamilton seeks a Palantir Data Engineer to design and operate scalable data pipelines in Foundry, using Python, PySpark, and TypeScript to unlock insights from complex datasets.

You will collaborate with cross-functional teams, translate requirements into scalable solutions, and participate in Agile processes with Jira. A Bachelor’s degree and eligibility for a Public Trust are required.