Palantir Data Engineer

Robotics Technologies LLC
Saint Paul, MO, United States
about 2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Amazon Web Services Data Analysis Microsoft Azure Big Data Information Systems Information Engineering Data Integrity Extract Transform Load (ETL) Python (Programming Language) SQL Databases Software Repository
+5 more
Google Cloud Apache Spark Pyspark Information Technology Data Pipelines

Requirements

Do you have experience in Spark implementation?, Do you have a Bachelor’s degree?, * Bachelor’s or Master’s degree in Computer Science, Information Systems, Finance, Data Engineering or a related field.

  • Significant hands-on experience with Palantir Foundry.
  • 5 to 7 Years of relevant experience in Palantir Foundry.
  • Advanced skills in Python, PySpark, and SQL.
  • Experience with big data technologies, cloud platforms (AWS, Azure, GCP), and agile methodologies.
  • Strong analytical thinking and problem-solving abilities.
  • Data engineers at Palantir focus on building and optimizing data pipelines within the Palantir Foundry platform.
  • Design and implement scalable ETL/ELT pipelines using Foundry’s tools and code repositories.
  • Use Python, PySpark, and SQL to ingest, transform, and manage large-scale data from diverse sources.
  • Collaborate with data scientists and analytics teams to create data models (ontologies), ensuring data quality and governance.
  • Perform data analysis, validation, and optimization to ensure data integrity and pipeline performance.

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