Senior Data Engineer Palantir Foundry (W2 Only)

Plano, TX, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineering
  • Python
  • PySpark
  • SQL
  • ETL
  • ELT
  • Palantir Foundry
  • Databricks
  • Delta Lake
  • Unity Catalog
  • Snowflake
  • Azure Data Factory
  • Azure Synapse
  • Azure Data Lake Storage (ADLS)
  • Data Warehousing
  • Data Modeling
  • Star Schema
  • Snowflake Schema
  • Spark Streaming
  • CI/CD
  • Git
  • Jenkins
  • Airflow
  • dbt
  • Luigi
  • Data Governance
  • Metadata Management
  • Query Optimization

Summary

Job Summary:
We are seeking a Senior Data Engineer to design, build, and maintain enterprise-scale data platforms using modern cloud-native technologies. The ideal candidate will have strong experience with Palantir Foundry, Databricks, and/or Snowflake, along with expertise in scalable data pipeline development and data warehousing.


Key Responsibilities:

  • Design and implement end-to-end data pipelines using Palantir Foundry, Databricks, and Snowflake
  • Develop scalable ETL/ELT workflows using Python, PySpark, and SQL
  • Build and maintain data lake and data warehouse architectures on Azure (Data Factory, Synapse, ADLS)
  • Implement data governance, data quality, and metadata management frameworks
  • Develop and optimize Databricks notebooks, Delta Lake tables, and Unity Catalog implementations
  • Design and manage Palantir Foundry ontologies and transformation pipelines
  • Collaborate with data scientists, analysts, and business stakeholders to deliver data products
  • Optimize performance in Snowflake (clustering, partitioning, materialized views)
  • Implement real-time data pipelines using Spark Streaming or similar technologies
  • Develop CI/CD pipelines using Git, Jenkins, or similar tools

Required Qualifications:

  • 5+ years of hands-on data engineering experience
  • Strong proficiency in Python and PySpark
  • Strong SQL skills, including complex query optimization
  • Hands-on experience with at least two of the following: Palantir Foundry, Databricks, Snowflake
  • Experience with Azure data services (Data Factory, Synapse, ADLS)
  • Knowledge of data modeling (dimensional modeling, star schema, snowflake schema)
  • Experience with orchestration tools (Airflow, dbt, Luigi, or similar)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91172920
  • Position Id: 8938346
  • Posted 3 hours ago
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