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
Arlington, VA
POSTED
2 days ago
Data Engineer – 40 Open position
Remote
Rate: $60-$70/Hr. on W2 (Without Benefits) and $80/Hr. on C2C(A.I)
Clint- Palantir
Video Mode
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) any one ertification is mandatory
• 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