Lynn Rodens · 4 hours ago
Palantir Data Engineer
Lynn Rodens is seeking a skilled Palantir Data Engineer to design, build, and scale high-impact data solutions within the Palantir Foundry platform. In this role, you’ll turn complex, large-scale data into reliable, production-ready analytics that power AI-enabled decision making.
Information Services
Responsibilities
Build, maintain, and optimize scalable data pipelines and workflows in Palantir Foundry using Python, PySpark, and SQL
Develop data models and ontologies, mapping datasets to objects with strong governance, lineage, and security
Monitor and tune performance for large-scale data processing environments
Partner with business stakeholders and engineering teams to translate requirements into technical solutions
Support platform reliability by managing data ingestion, integration, and overall Foundry uptime
Qualification
Required
2–3 years of experience in data engineering, ETL workflows, and big data technologies (e.g., Spark, Kafka, AWS)
Strong proficiency in Python, PySpark, SQL, and data modeling best practices
Hands-on Palantir experience, including Foundry certification (Code Repos, Workbooks, Pipeline Builder)
Experience working in Agile environments with large, complex datasets
Familiarity with collaboration and versioning tools such as JIRA, Git, and Confluence
Company
Lynn Rodens
Funding
Current Stage
Growth StageCompany data provided by crunchbase