EI
Data Engineer
Expert In Recruitment Solutions
🇺🇸 United States
On-site
2 months ago
- AI
- Palantir
- Foundry
- Python
- SQL
- PySpark
- TypeScript
- JavaScript
- ETL
- ELT
- AWS Glue
- Azure Data Factory
- Informatica
- Talend
- Fivetran
- AWS
- Azure
- IAM
- Snowflake
- Databricks
- BigQuery
- Redshift
- Delta Lake
- OpenAI
- AWS Bedrock
- Azure OpenAI
- Neo4j
2 months 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:
â—¦ Palantir Foundry Data Engineer
â—¦ Palantir Foundry Ontologist
â—¦ Palantir AIP Application Developer
â—¦ Palantir Foundry Platform Administrator
Data Engineer · Expert In Recruitment Solutions