Data Engineer - Palantir Must

Gandiva Insights

Dallas, TX(remote)

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Borland ObjectWindows Library (OWL) Programming Libraries, C-Level Management, Cloud Computing, Cross-Functional, Customer Relations, Data Management, Data Migration, Data Warehousing, Database Extract Transform and Load (ETL), Energy & Utilities, Enterprise Architecture, Financial Services, Government, Healthcare, Informatica, JavaScript, Large-Scale Systems, Manufacturing, Microsoft Windows Azure, Multiplatform/Cross-Platform, Neo4j, Network Configuration Management, Network Security, Ontology, Python Programming/Scripting Language, RDF (Resource Description Framework), Retail, SQL (Structured Query Language), Snowflake Schema, Stardog, System Integration (SI), Systems Administration/Management, Technical Delivery, Transformation Tools
LOCATION
Dallas, TX
POSTED
3 days ago

Role : Senior Data Engineer - Palantir Certification Must
location : 100% Remote

Duration : Long Term contact

Required Qualifications

Experience

  • 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).

Palantir Certification (Required)

  • 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

About the Company

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Gandiva Insights