StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
3+ YOEBachelor's in related field, minimum 3 years in data roles, proficiency in Python, SQL, PySpark, experience with cloud/data platforms, statistics and applied ML, strong communication skills.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
3+ YOEBachelor's in a related field, 3+ years in data science/advanced analytics, strong proficiency in Python, SQL, PySpark, visualization tools, cloud platforms, statistics, machine learning, and delivering production analytics solutions.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
5+ YOE5+ years data engineering and software development lifecycle; 4+ years production data apps; AWS; Spark; Python/Java/Rust; Big Data platforms; Kafka/Flink; Airflow; CI/CD/DevOps; SQL; Terraform; GitHub Actions.
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
5+ YOE5+ years data engineering experience, bachelor\u0002s in CS/Engineering/Mathematics, production data pipeline and cloud (AWS) experience, proficiency in JVM languages and Python, Spark, SQL, Terraform, and CI/CD.
Apache Spark, Terraform, GitHub Actions, Python, Java, Rust, Google Big Query, Azure, AWS S3, Kafka, Flink, Airflow, Luigi, Azure Data Factory, SQL, Scala, Databricks, EMR, Glue, Delta Lake, Iceberg
Data Engineer - Vehicle Configuration Optimization
Auburn Hills, Michigan, United States
OnsiteFull Time
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
5+ YOE5+ years data engineering experience, bachelors degree, strong Databricks hands-on experience, proficiency in SQL and Python, ETL/data pipeline experience, familiarity with cloud platforms and medallion architecture.
Data Engineer – Vehicle Configuration Optimization
Auburn Hills, Michigan, United States
OnsiteFull Time
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
5+ YOE5+ 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.
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
8+ YOEBachelor's degree,8+ years data engineering experience,strong SQL and data modeling skills,experience with Snowflake/Palantir/Databricks,ability to write production SQL/Python/PySpark,Git experience,work overlap with EST required.
Snowflake, Palantir Foundry, Microsoft Power BI, Databricks, SQL, Python, PySpark, TypeScript, Git
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
5+ YOEBachelor's degree and minimum 5 years in data science or applied statistics; strong Databricks, Python (Pandas, NumPy, scikit-learn, PySpark), SQL, and statistical modeling skills.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
8+ YOEBachelor's degree in business or technical field, 8+ years data engineering experience, strong SQL, data modeling and ETL/ELT skills, familiarity with Snowflake/Palantir/Databricks, Git; Python/TypeScript and Power BI experience preferred.
SQL, Python, PySpark, TypeScript, Snowflake, Palantir Foundry, Databricks, Microsoft Power BI, Git
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
5+ YOEBachelors degree and 5+ years in data science or applied statistics; strong Databricks, Python, SQL, statistical modeling, simulation, and experimental design skills; translate analytics to business decisions.
DowNYSE: DOW: Manufacturer of advanced chemicals, plastics, and specialty materials.
3+ YOE3+ years ML experience, Bachelor’s degree (or 8 years relevant experience), proficiency with Databricks and Azure, Python and ML frameworks, strong ML/MLOps skills, and legal ability to work in the U.S. without sponsorship.
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
10+ YOEBachelor's in Data Science/Statistics/Engineering/Computer Science,10+ years in data science/analytics or program management,proficiency in Python,SQL,PySpark,Power BI and enterprise data platforms,experience leading analytics teams.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOEBachelor's in Engineering/Computer Science, 5+ years engineering experience in prognostics/diagnostics/embedded controls or analytics; strong Python, SQL, data visualization (PowerBI, Databricks, Azure Apps), ML and signal processing skills; strong communication.