The Data Engineer will solve complex data challenges using Palantir Foundry and build data pipelines, deploying on AWS while optimizing performance.
What We Look For
· Passion for solving real-world challenges and delivering high-impact results.
· Strong analytical skills with the ability to translate complex data problems into actionable solutions.
· Proficiency in Java, Python, TypeScript, and/or React.
· Hands-on experience with Palantir Foundry, including Ontology, Slate, Workshop, or AIP.
· Expertise in building and optimizing data pipelines and backend microservices (Spring Boot, REST APIs).
· Experience deploying on AWS cloud platforms and optimizing infrastructure for cost and performance.
· Familiarity with LLMs and Generative AI integration (preferred but not required).
· Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
· Ability to work independently, adapt quickly, and thrive in client-facing, fast-paced environments.
Preferred Qualifications
· Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
· 5+ years of professional software engineering or data engineering experience.
· Direct experience embedding with client teams and delivering production-grade solutions.
· Prior experience with Spark / PySpark and distributed computing frameworks.
· Familiarity with federal or enterprise clients is a plus.
Why Join Us
· Work on mission-critical projects directly impacting enterprise transformation.
· Collaborate with some of the brightest minds in the Palantir ecosystem.
· Opportunity to build innovative, AI-driven solutions shaping the future of data-driven decision-making.
· Competitive compensation package and growth opportunities in a fast-scaling practice.
· Passion for solving real-world challenges and delivering high-impact results.
· Strong analytical skills with the ability to translate complex data problems into actionable solutions.
· Proficiency in Java, Python, TypeScript, and/or React.
· Hands-on experience with Palantir Foundry, including Ontology, Slate, Workshop, or AIP.
· Expertise in building and optimizing data pipelines and backend microservices (Spring Boot, REST APIs).
· Experience deploying on AWS cloud platforms and optimizing infrastructure for cost and performance.
· Familiarity with LLMs and Generative AI integration (preferred but not required).
· Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
· Ability to work independently, adapt quickly, and thrive in client-facing, fast-paced environments.
Preferred Qualifications
· Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
· 5+ years of professional software engineering or data engineering experience.
· Direct experience embedding with client teams and delivering production-grade solutions.
· Prior experience with Spark / PySpark and distributed computing frameworks.
· Familiarity with federal or enterprise clients is a plus.
Why Join Us
· Work on mission-critical projects directly impacting enterprise transformation.
· Collaborate with some of the brightest minds in the Palantir ecosystem.
· Opportunity to build innovative, AI-driven solutions shaping the future of data-driven decision-making.
· Competitive compensation package and growth opportunities in a fast-scaling practice.
Top Skills
AWS
Java
Palantir Foundry
Pyspark
Python
React
Rest Apis
Spark
Spring Boot
Typescript
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