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Data Engineer with Data migration - W2

Ukund IncUnited States🇺🇸United StatesPosted 12 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role : Data Engineer with Data Migration
Remote
W2 only
 
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

 

Skills

Neo4j
SQL
AWS
ETL
Snowflake
Azure
BigQuery
Databricks
JavaScript
Python
Redshift
TypeScript

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