StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
3+ YOEBachelor's in Computer Science (or related), 3+ years technical delivery or data engineering experience, project management skills, finance/costing background, data engineering with cloud platforms (Snowflake/AWS/Azure), Databricks, Palantir Foundry, SQL, and Microsoft Power Platform.
Snowflake, AWS, Azure, Databricks, Palantir Foundry, SQL, Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), Microsoft Copilot
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
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years supporting CAE/simulation data workflows, experience with workflow automation, data processing, GitHub/GitHub Actions, Databricks, SQL, strong analytical and communication skills.
HARMAN: Produces connected technologies and audio systems for vehicles and consumers.
7+ YOEExpert Python and ML/AI frameworks, MLflow and Databricks experience, MLOps/CI-CD and model governance, 7+ years technical experience and 3+ years deploying production AI systems, experience with generative AI/LLMs and RAG.
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.