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Tier-1 brand, popular Data Engineer title, metro location, and remote flexibility increase competition.
High because Palantir Foundry and enterprise data-platform expertise are specialized and less transferable.
Platform-specific Foundry/Palantir skills and comprehensive data-tech stack make screening highly strict.
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Design, develop, and maintain enterprise data-centric solutions including data warehousing, data lakes, and Palantir Foundry pipelines.
Manage and monitor data pipeline health using Foundry tools, including scheduling jobs, configuring health checks and alerts.
Provide architecture and solution design for cloud data analytics platforms leveraging Palantir, Azure, AWS, Snowflake, and related technologies.
Experience with DevOps, Infrastructure as Code, DataOps, MLOps, and enterprise data environments.
Proficiency in ETL tools such as Talend or similar, SQL (PL/SQL, query tuning), NoSQL (MongoDB), and programming languages like Python, PySpark, JavaScript, Java or Scala.
Hands-on expertise with Palantir Foundry tools including Ontology, Contour, Object-explorer, Ontology-Manager, Object-editor, Actions/Typescript, Code workbook, and Code Repository.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and optimizing data pipelines specifically within Palantir Foundry environment.
Capable of architecting cloud-based data analytics platforms using Palantir combined with major cloud providers (Azure, AWS, Google) and modern data warehouses.
Skilled in monitoring and improving data pipeline operations with strong understanding of data governance and enterprise data strategy.