Palantir Data Engineer
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 ML strategy for our defense clients. Join us. The world can't wait.
Requirements
- 4+ years of experience in data operations such as data science, data engineering, data platforms, AI, ML, or software development
- 2+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization
- 2+ years of experience with Python or TypeScript
- 2+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems
- Ability to work in a fast-paced, 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
Benefits
- health
- life
- disability
- financial
- retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Number of Employees
1-10 employees
