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Remote role, popular Data Engineer title, and mid-level (2–5 yrs) range increase applicant competition.
Core data engineering skills transfer well, but Palantir Foundry and compliance context increase domain specificity.
Explicit 2–5 years requirement plus mandatory Python/SQL and pipeline experience create moderate screening.
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Develop and support user-facing data applications and data solutions on Palantir Foundry, including building data pipelines and scalable data models.
Partner with business stakeholders and technical teams to digitize and automate Compliance processes and deliver AI-enabled solutions within the data lifecycle.
Ensure application performance, usability, reliability, and maintainability across data ingestion, transformation, ontology, and application layers.
2- or 4-year college degree or equivalent professional experience.
2-5 years of experience in data engineering, software engineering, analytics engineering, or related technical fields.
Proficiency in Python and SQL, with experience developing, maintaining, and troubleshooting data pipelines and user-facing analytical tools.
Work Experience Required: 2-5 years in relevant technical roles.
Experience specifically with Palantir Foundry components including Workshop, Code Repositories, Transforms, and Ontology.
Technical proficiency spanning frontend (React), backend (Python, SQL), and data engineering workflows (ingestion, transformation, modeling).
Prior exposure to regulated industries such as financial services or Compliance and familiarity with modern data platforms like Snowflake, Databricks, Apache Spark, or Airflow.