Senior Data Engineer - Palantir Foundry

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Senior Data Engineer - Palantir Foundry

Objectways Technologies Llc

Location

Fully Remote - US

Experience

Senior

Posted

Jul 30, 2026

Apply by

August 29, 2026

Applicants

0

Early applicantFull-timeWork from Home

Job Description

Senior Data Engineer with hands-on Palantir Foundry experience to design, build, and operate production pipelines and ontologies. You'll own pipelines end-to-end — from raw ingestion to curated ontology objects — and partner with analysts, data scientists, and business owners to deliver governed data products. Work Authorization: This position is open to US Citizens or Green Card holders. Required qualifications: - 5–6 years of professional data engineering experience. - Hands-on production Palantir Foundry — Code Repos, Pipeline Builder, Ontology Manager, Workshop. - Strong Python, PySpark, and SQL with proven Spark performance tuning. - Solid grasp of dimensional modeling, incremental processing, and data quality frameworks. - Experience with AWS, Azure, or GCP and modern formats (Parquet, Delta, Iceberg). - Comfortable with Git-based workflows and CI/CD. - Must be a US citizen or Green Card holder. Not eligible for visa sponsorship or transfer. What you'll do: - Build scalable Foundry pipelines using PySpark, Python, and SQL transforms. - Model and maintain Ontology objects, links, and actions for core business entities. - Develop operational apps with Workshop, Quiver, and Contour for end users. - Integrate Foundry with upstream sources (DBs, APIs, cloud storage) and downstream consumers. - Implement data quality checks, health monitors, and incremental builds. - Apply Foundry's security model — markings, projects, RBAC — for governance and compliance. - Mentor engineers on Foundry best practices and pipeline design patterns. This is a remote position. # Building AI Data Solutions That Drive Smarter Decisions We at Objectways, are a boutique shop that helps our customers solve some of the most pressing problems in Big data analytics. Machine Learning / Artificial intelligence and lOT analytics. While Cloud providers provide a plethora of tools. we believe in working backward from a customer problem to provide prescribed use of services and architecture.

Key Responsibilities

  • Build scalable Foundry pipelines using PySpark, Python, and SQL transforms.
  • Model and maintain Ontology objects, links, and actions for core business entities.
  • Develop operational apps with Workshop, Quiver, and Contour for end users.
  • Integrate Foundry with upstream sources such as databases, APIs, and cloud storage.
  • Implement data quality checks, health monitors, and incremental builds.
  • Apply Foundry's security model including markings, projects, and RBAC for governance.
  • Mentor engineers on Foundry best practices and pipeline design patterns.

Skills Required

PythonPySparkSQLPalantir FoundryAWSAzureGCPParquetDeltaIcebergGitCI/CDDimensional modelingSpark performance tuningMentoringCollaboration

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