Position : Palantir Foundry Engineer
Domain : Healthcare
Location : Nashville, TN (Onsite from Day One)
Duration : 6 Months
Job Type Contract
Role Summary :
Seeking a hands-on Palantir Foundry Engineer to design ontology-driven data products, build reliable data pipelines, and operationalize them into secure, reusable, and observable assets supporting multiple healthcare applications (Workshop / Slate, AIP / Actions). This role covers the full lifecycle-from raw data to governed, versioned datasets powering enterprise analytics and AI workflows.
Key Responsibilities :
- Ontology & Data Modeling : Design and evolve Foundry Ontology objects, schemas, and data relationships with lineage tracking.
- Pipeline Engineering : Build and optimize Code Workbook transforms (SQL, PySpark / Scala), implement incremental and snapshot pipelines, and orchestrate DAGs.
- Data Operations : Configure schedules, SLAs, alerts, and DQ checks; ensure idempotent and fault-tolerant execution.
- Governance & Security : Apply RBAC, PII handling, policy tags, and least-privilege security principles.
- Performance Optimization : Tune joins, caching, and partitioning for cost and speed efficiency.
- DevOps & SDLC : Leverage Git, CI / CD, testing, and versioning within Foundry.
- Application Integration : Expose ontology-backed data to apps (Workshop / Slate), APIs, and AIP agents.
- Reliability : Manage incident response, RCAs, and create runbooks for data product stability.
- Documentation & Mentorship : Produce detailed documentation and enablement materials for engineering teams.
Required Qualifications :
7+ years in Data Engineering / Analytics Engineering , including 4+ years hands-on Palantir Foundry .Strong command of Foundry Ontology, Code Workbooks, Pipelines, and Permissions .Expertise in SQL, PySpark / Scala , and data pipeline optimization.Experience managing SLAs / SLOs, alerts, DQ frameworks , and version control with Git / CI-CD .Familiar with AWS / Azure / GCP , Parquet / Delta , and cost / performance tuning.Understanding of data governance , security , and PII compliance .Nice to Have :
Experience building Workshop / Slate UIs , AIP / Actions , and Kafka / Kinesis streaming integrations.Exposure to observability tools (Datadog, CloudWatch, Prometheus) and FinOps practices.Established Foundry templates, testing frameworks , or data product catalogs .Performance Metrics (First 90 180 Days) :
99.5% pipeline success rate with SLAs and alerting in place.20%+ reduction in runtime or compute cost.Zero P1 data incidents; 4h MTTR with automation.3+ reusable templates adopted by partner teams.Ontology versioning and lineage coverage for key healthcare domains.