Data Engineer - Palantir Must

Gandiva Insights
Dallas, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 166K

Job location

Remote
Dallas, United States of America

Tech stack

JavaScript
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Google BigQuery
Data as a Services
ETL
Data Transformation
Data Migration
Data Warehousing
Identity and Access Management
Python
Neo4j
SQL Databases
Systems Integration
Talend
TypeScript
Azure
Informatica Powercenter
Large Language Models
Snowflake
Data Lake
PySpark
Amazon Web Services (AWS)
Data Management
Azure
Multiplatform
Redshift
Databricks

Job description

  • Active Palantir certification in at least one of the following tracks is required at time of hire or within 90 days of joining:
  • Palantir Foundry Data Engineer
  • Palantir Foundry Ontologist
  • Palantir AIP Application Developer
  • Palantir Foundry Platform Administrator, Role Overview As an AI Engineer, you will play a pivotal role in shaping the future of AI systems by applying your domain expertise to train next-generation models. Your contribu…
  • 16 days ago

Requirements

  • 7 10+ years of progressive enterprise data engineering, data migration, or large-scale system integration experience in complex multi-platform environments.
  • 3 5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises, with full ownership of technical delivery and client outcomes.
  • Proven hands-on experience with Palantir Foundry - Pipeline Builder, Ontology, Contour, Code Workbook, and Workshop - in a production delivery context.
  • Demonstrated client-facing experience advising C-level executives, enterprise architecture teams, and cross-functional business stakeholders as a trusted technical partner.
  • Proven delivery complexity: at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution.
  • Validated industry depth in at least two of: Healthcare, Financial Services, Manufacturing, Energy & Utilities, Retail, or Public Sector.

Technical Skills

  • Advanced proficiency in Python and SQL; working experience in PySpark and TypeScript/JavaScript for pipeline and SDK development.
  • Hands-on expertise with modern ETL/ELT platforms: AWS Glue, Azure Data Factory, Informatica, Talend, Matillion, or Fivetran.
  • Strong working knowledge of at least one major cloud provider (AWS or Azure) - core infrastructure, managed data services, IAM, networking, and security configurations.
  • Experience with enterprise data warehouse and lakehouse platforms: Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, or Delta Lake.
  • Practical experience integrating LLMs or AI-driven tooling into data transformation, schema inference, or mapping workflows (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI).
  • Familiarity with ontology frameworks (RDF, OWL) or knowledge graph platforms (Neo4j, Stardog, Palantir Ontology).

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