Data Engineer
| Verified Pay check_circle | Provided by the employer$60-$70 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Arlington, VA 22203 Arlington, Virginia open_in_new |
Compare Pay
Verified Pay check_circleProvided by the employer This job pays below average compared to similar jobs in your area.
$43.26
$65.00
$84.29
$100
About this job
Job Description
Job Description
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
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
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1310111073 Posted: 2026-10-29 Job Title: Data Engineer