Need Palantir Foundry Engineer - Remote

  • Posted 13 hours ago | Updated 13 hours ago

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 20 Month(s)
Able to Provide Sponsorship

Skills

SQL
PySpark
Scala
Orchestrate
SLAs
SLOs
RBAC
SDLC
AWS
Azure
GCP
Parquet
Delta

Job Details

Role: Palantir Foundry Engineer Location: Remote

Role Summary
Hands-on Foundry specialist who can design ontology-first data products, engineer high-reliability pipelines, and operationalize them into secure, observable, and reusable building blocks used by multiple applications (Workshop/Slate, AIP/Actions). Youll own the full lifecycle: from raw sources to governed, versioned, materialized datasets wired into operational apps and AIP agents.
Core Responsibilities
Ontology & Data Product Design: Model Object Types, relationships, and semantics; enforce schema evolution strategies; define authoritative datasets with lineage and provenance.
Pipelines & Materializations: Build Code Workbook transforms (SQL, PySpark/Scala), orchestrate multi-stage DAGs, tune cluster/runtime parameters, and implement incremental + snapshot patterns with backfills and recovery.
Operationalization: Configure schedules, SLAs/SLOs, alerts/health checks, and data quality tests (constraints, anomaly/volume checks); implement idempotency, checkpointing, and graceful retries.
Governance & Security: Apply RBAC, object-level permissions, policy tags/PII handling, and least-privilege patterns; integrate with enterprise identity; document data contracts.
Performance Engineering: Optimize joins/partitions, caching/materialization strategies, file layout (e.g., Parquet/Delta), and shuffle minimization; instrument with runtime metrics and cost controls.
Dev Productivity & SDLC: Use Git-backed code repos, branching/versioning, code reviews, unit/integration tests for transforms; templatize patterns for reuse across domains.
Applications & Interfaces: Expose ontology-backed data to Workshop/Slate apps wire Actions and AIP agents to governed datasets; publish clean APIs/feeds for downstream systems.
Reliability & Incident Response: Own on-call for data products, run RCAs, create runbooks, and drive preventive engineering.
Documentation & Enablement: Produce playbooks, data product specs, and runbooks; mentor engineers and analysts on Foundry best practices.
Required Qualifications
7+ years in data engineering/analytics engineering with 4+ years hands-on Palantir Foundry at scale.
Deep expertise in Foundry Ontology, Code Workbooks, Pipelines, Materializations, Lineage/Provenance, and object permissions.
Strong SQL and PySpark/Scala in Foundry; comfort with UDFs, window functions, and partitioning/bucketing strategies.
Proven operational excellence: SLAs/SLOs, alerting, data quality frameworks, backfills, rollbacks, blue/green or canary data releases.
Fluency with Git, CI/CD for Foundry code repos, test automation for transforms, and environment promotion.
Hands-on with cloud storage & compute (AWS/Azure/Google Cloud Platform), file formats (Parquet/Delta), and cost/perf tuning.

Regards,

Radiantze Inc

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