Senior Ontology Engineer - Global Data Platform Backend

Stellantisfinancialservices

Auburn Hills (MI)

Hybrid

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Stellantisfinancialservices in Auburn Hills is seeking an Ontology Engineer to build and maintain backend data solutions for global purchasing analytics. The role involves designing data models and writing production-grade code in SQL and Python, while collaborating with analysts across a globally distributed team.

Key requirements include a relevant bachelor’s degree and over 8 years of experience in data engineering. Candidates should be comfortable working independently in a complex environment and should possess strong SQL and Python skills. Experience with data platforms like Snowflake and Palantir Foundry is preferred.

Qualifications

  • 8+ years of experience in data engineering or related fields.
  • Familiarity with ETL/ELT workflows and version control systems.
  • Solid understanding of data models and analytics-ready data design.

Responsibilities

  • Develop and maintain SQL/PySpark data models for Global Purchasing analytics.
  • Collaborate with data analysts to create backend data solutions.
  • Ensure data quality through validation and automation logic.

Skills

Strong SQL coding skills
Proficiency in Python
Data modeling concepts
Modern data platforms expertise

Education

Bachelor's degree in relevant fields (e.g., Business, Engineering)

Tools

Snowflake
Palantir Foundry
Databricks
Power BI

Job description

Stellantisfinancialservices in Auburn Hills is seeking an Ontology Engineer to build and maintain backend data solutions for global purchasing analytics. The role involves designing data models and writing production-grade code in SQL and Python, while collaborating with analysts across a globally distributed team.

Key requirements include a relevant bachelor’s degree and over 8 years of experience in data engineering. Candidates should be comfortable working independently in a complex environment and should possess strong SQL and Python skills. Experience with data platforms like Snowflake and Palantir Foundry is preferred.

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