Stellantis
Posted 3w ago

Data Engineer – Vehicle Configuration Optimization

Stellantis
Auburn Hills, Michigan, United States
OnsiteFull Time
Responsibilities
  • building pipelines
  • designing transformations
  • ensuring stability
Requirements
  • 5+ years data engineering experience
  • Bachelor's degree
  • Hands-on Databricks experience
  • Proficiency in SQL and Python
  • Cloud familiarity (Azure/AWS/GCP)
  • Data pipeline and medallion architecture knowledge
Technical tools mentioned
SnowflakeDatabricksPythonSQLAzureAWSGCPSparkPySpark

Job description

Job Overview

We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream.

This is an ideal role for an early-to-mid career engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analytics.

Key Responsibilities:

  • Build and maintain data pipelines that ingest data from Snowflake into Databricks
  • Design and implement data transformations aligned to the medallion architecture (Bronze/Silver/Gold layers)
  • Ensure pipeline health, stability, monitoring, and performance optimization
  • Develop robust ETL/ELT workflows using Python and SQL
  • Create clean, curated datasets to support analytics, simulation, and machine learning use cases
  • Partner closely with data scientists, analysts, and business stakeholders to understand data needs
  • Implement data quality checks, validation processes, and governance standards



Qualifications

Basic Qualifications:

  • Minimum 5 years of experience in data engineering or similar role
  • Bachelors Degree
  • Strong hands-on experience with Databricks (critical requirement)
  • Proficiency in SQL and Python
  • Experience building and maintaining data pipelines and ETL processes
  • Familiarity with cloud data platforms (Azure preferred, but AWS/GCP acceptable)
  • Solid understanding of data modeling and medallion architecture concepts

Preferred Qualifications:

  • Experience with Snowflake and data lake architectures
  • Exposure to automotive, connected vehicle, or IoT datasets
  • Experience with Spark / PySpark
  • Familiarity with pipeline orchestration and monitoring tools

Understanding of downstream analytics or ML use cases




Benefits

Salaried Employee Benefits (US, Non-Represented)

Health & Wellbeing

Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability.

Compensation, Savings, and Retirement

Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing.

Time Away from Work

Paid time includes company holidays, vacation, and Float/Wellbeing Days.

Family Benefits

12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances.

Professional Growth

Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups.

Company Car & More

Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends.




EOE/Disability/Veteran

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.

As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.

We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.

About Stellantis

Designs, manufactures, and sells passenger cars and commercial vehicles.

Similar jobs

Data Engineer roles near Auburn Hills, Michigan
1d
Save
Mark Applied
Hide
Data Engineer
Dearborn, Michigan, United States
$100k-$163k/yr HybridFull Time
Ford Motor Company
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
4+ YOEMaster's degree and 4 years of experience, or bachelor's degree with 6+ years; 4 years in data engineering, 3 years in cloud data engineering, and proficiency in at least three named programming languages and cloud data technologies.
Java, Python, Spark, Scala, SQL, Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery, Airflow, Cloud Run, MySQL, PostgreSQL, SQL Server, Apache Kafka, GCP Pub/Sub, Tekton, GitHub Actions, Git, GitHub, Terraform, Docker, Atlassian JIRA, Google Cloud Platform (GCP), Amazon Web Services (AWS), Vertex AI, SonarQube, Checkmarx, Fossa, Cycode, Test Driven Development (TDD), CI/CD, REST APIs, MLOps
1d
Save
Mark Applied
Hide
Data Engineer
Dearborn, Michigan, United States
OnsiteFull Time
Ford Motor Company
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
5+ YOEBachelor's degree or equivalent; 5+ years Python, 4+ years automotive AI/ML, and experience with data pipelines, databases, APIs, cloud platforms, agentic AI, and machine learning operations.
Google Cloud Platform (GCP), Amazon Web Services (AWS), Vertex AI, JavaScript, TypeScript, React, HTML, Next.js, Node.js, Python, Go, SQL, NoSQL, REST, GraphQL, Flask, FastAPI, LangChain, LangGraph, Google Agent Development Kit (ADK), Model Context Protocol (MCP), Pandas, PyTorch, TensorFlow, Keras, Hugging Face, Docker, Kubernetes, Terraform, RAGEval
3d
Save
Mark Applied
Hide
Data Engineer - Axion
Sunnyvale or Washington or San Diego or Fort Walton Beach or Ann Arbor or London or Stuttgart or Munich or Stockholm or Bangalore or Seoul or Tokyo
$200k-$275k/yr OnsiteFull Time
Applied Intuition
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
5+ YOERequires 5+ years of relevant experience, modern ML infrastructure, large-scale GPU jobs, data software, microservices or databases, U.S. citizenship, and eligibility for security clearance.
React, TypeScript, Python, Golang, Docker, Kubernetes, Opensearch, Postgres, LLMs, VLMs, GPU
4d
Save
Mark Applied
Hide
Senior Data Engineer – Agentic AI, Automation, and Data Platforms
Warren or Austin
$139k-$174k/yr HybridFull Time
General Motors
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOEBachelor's degree or equivalent experience, 5+ years in data engineering, and experience with Python or Scala, SQL, Spark, Databricks, cloud platforms, batch and streaming pipelines, and AI technologies.
Cursor, large language models, Vector Search, Databricks agents, RAG, Azure Databricks, Python, Scala, SQL, Apache Spark, Azure, AWS, GCP, Databricks, Delta Lake, Claude, GitHub Copilot, Genie, Glean, CI/CD, APIs
4d
Save
Mark Applied
Hide
Senior Data Engineer
United States or Troy
$135k-$195k/yr RemoteFull Time
Protera Health
Protera Health: Virtual, physician-led musculoskeletal care for patients and employers.
5+ YOERequires 5+ years in data engineering or related roles, production Python and SQL, healthcare claims data expertise, GCP, Terraform, PostgreSQL, orchestration, BI, and regulated-data security experience.
Python, Terraform, GCP, CI/CD, Mage, SFTP, BigQuery, PostgreSQL, Microsoft?, Compute Engine, Cloud SQL, Cloud Storage, Functions, Secret Manager, VPC, IAM, Looker Studio, Grafana, Metabase, SQL, Airflow, Dagster, dbt, Power BI, X12 EDI, HL7/FHIR, Healthie, HIPAA, EHR, SOC 2 Type 2, HITRUST
5d
Save
Mark Applied
Hide
Google Senior Data Engineer
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$80k-$266k/yr HybridFull Time
Accenture
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
5+ YOERequires 5+ years in data engineering, analytics, or ML; 4+ years with GCP; 5+ years with SQL and pipelines; 3+ years with Python or AI tools; and a bachelor's degree or equivalent.
Google Cloud Platform (GCP), BigQuery, Looker, Vertex AI, Gemini Foundation Models, Gemini Enterprise, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Looker Studio, Model APIs, Embeddings, Dataplex, IAM, SQL, Python, Git
5d
Save
Mark Applied
Hide
Full-Stack Data Engineer
Troy, Michigan, United States
HybridFull Time
Hearst
Hearst: Provides diversified media, information, and business services worldwide.
Bachelor's degree; expert Python and SQL, AWS, semi-structured data, automation, Databricks, Kubernetes, DevOps, CI/CD, Git, Azure DevOps, agentic AI, Pandas, NumPy, Apache Spark, and Ray experience.
Python, SQL, AWS, AWS Lambda, AWS Glue, AWS Step Functions, AWS Fargate, AWS CloudFormation, Amazon Redshift, XML, CSV, JSON, Parquet, Databricks, Delta Lake, Kubernetes, Octopus Deploy, Git, Azure DevOps, LangGraph, MCP Servers, Pandas, NumPy, Apache Spark, Ray, LLMs, Machine Learning, Deep Learning Libraries, AI Application Frameworks, Vector Databases, Agile, Scrum
6d
Save
Mark Applied
Hide
Développeur de données II (Contrat-15 mois)
Sherbrooke or Windsor or Miami or Mexico
$35-$46/hr OnsiteContract
Global Excel Management
Global Excel Management: Provides global medical cost containment and healthcare services.
4+ YOEBachelor's or graduate degree in computer engineering, mathematics, data science, or related field; 4–6 years' experience; advanced Snowflake, dbt, Azure Data Factory, SQL, cloud data architecture, governance, and bilingual communication.
Snowflake, Microsoft SQL Server, PostgreSQL, MariaDB, Azure, dbt, Azure Data Factory, Apache Airflow, Informatica, SQL, Azure Storage, API, NoSQL