Tranzeal Incorporated

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Palantir Foundry, requiring 7+ years in data engineering and 4+ years in Foundry. Located in Nashville, TN, it offers competitive pay. Key skills include SQL, PySpark/Scala, and cloud experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 10, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Nashville, TN
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🧠 - Skills detailed
#Data Engineering #Cloud #Data Ingestion #Spark (Apache Spark) #Palantir Foundry #Monitoring #Datasets #Azure #SQL (Structured Query Language) #GCP (Google Cloud Platform) #PySpark #Security #GIT #Scala #AWS (Amazon Web Services) #Code Reviews #Data Quality
Role description
Role: Data Engineer- Palantir Location: Nashville, TN Domain: Healthcare Job Summary We are seeking a hands-on Palantir Foundry Engineer to design ontology-driven data products, build reliable pipelines, and operationalize governed datasets for enterprise applications. You will own the end-to-end lifecycleβ€”from raw data ingestion to production-grade pipelines powering Workshop/Slate apps and AIP agents. Key Responsibilities β€’ Design ontologies, data models, and authoritative datasets with clear lineage and governance. β€’ Build Foundry pipelines using SQL, PySpark/Scala, orchestrate DAGs, and manage incremental & snapshot materializations. β€’ Configure schedules, SLAs/SLOs, alerts, data quality checks, and operational monitoring. β€’ Implement RBAC, PII handling, policy tags, and secure data contracts. β€’ Optimize performance (joins, partitions, caching, Parquet/Delta). β€’ Use Git-backed repos for versioning, code reviews, testing, and environment promotion. β€’ Enable Workshop/Slate applications and AIP/Actions integrations with ontology-backed datasets. β€’ Support on-call, incident response, RCA, and runbook development. Required Experience β€’ 7+ years in data engineering; 4+ years hands-on in Palantir Foundry. β€’ Strong SQL & PySpark/Scala in Foundry. β€’ Deep expertise in Ontology, Code Workbooks, Pipelines, Materializations, and permissions. β€’ Experience with SLAs, alerting, backfills, rollbacks, and CI/CD for Foundry. β€’ Cloud experience (AWS/Azure/GCP) and performance tuning skills. β€’ Strong understanding of governance, PII, and security models.