Palantir Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC

Saint Paul (MO)

In loco

USD 120.000 - 180.000

Tempo pieno

15 ore fa
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Descrizione del lavoro

Palantir Data Engineer role at MACHINE LEARNING TECHNOLOGIES LLC in St. Paul, MO, focusing on building scalable data pipelines within Palantir Foundry for healthcare analytics.

You will collaborate with data scientists and analytics teams, ingest and transform data with Python, PySpark and SQL, ensure data quality and governance, and implement ETL/ELT pipelines using Foundry tools across cloud platforms.

Competenze

  • 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.

Mansioni

  • Build and optimize data pipelines within Palantir Foundry.
  • Design scalable ETL/ELT processes using Foundry tools and repos.
  • Ingest, transform, and manage large-scale data from diverse sources using Python/PySpark/SQL.
  • Collaborate with data scientists to create ontologies and ensure data governance.

Conoscenze

Python
PySpark
SQL
ETL/ELT pipelines
Data modeling
Data governance

Formazione

Bachelor's or Master's degree in CS/IS/Finance/Data Engineering

Strumenti

Palantir Foundry
AWS
Azure
GCP

Descrizione del lavoro

Job Overview
  • Job ID: J52889
  • Job Title: Palantir Data Engineer
  • Location: St. Paul, MO
  • Duration: 12 Months + Extension
  • Domain Exposure: Healthcare
  • Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
  • Client: To Be Discussed Later
  • Employment Type: W-2, 1099, C2C
Job Description
  • 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.
Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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