Palantir Data Engineer, Senior

Booz Allen Hamilton•McLean, VA

10d•$99,000 - $225,000

About The Position

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support mission-critical projects for our Defense clients. As a senior machine learning engineer on our core Palantir team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define an ML strategy for our defense clients. Join us. The world can’t wait.

Requirements

8+ years of experience in data operations such as data science, data engineering, data platforms, AI, ML, or software development
5+ years of experience with Python or TypeScript
Experience with Palantir, including data modeling, ontology mapping, or data visualization
Experience with Pipeline Builder, AIP, and Foundry's application development ecosystems
Ability to work in a fast-paced and Agile environment
Ability to travel up to 20% of the time
Secret clearance
Bachelor's degree

Nice To Haves

Experience working with different teams within the Department of Defense
Experience with Databricks
Experience working in mission-oriented analytics or logistics-based data environments
Experience with Git-based code repositories and CI/CD workflows
Knowledge of working with Maven Smart Systems, including AIP
Knowledge of DevSecOps best practices and software lifecycle methodologies
Possession of excellent problem-solving skills

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies.
Share your knowledge with a large community of machine learning engineers across the company
Collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making.
Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Define an ML strategy for our defense clients.