Data Engineer Jobs

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At Stellantis, we’re breaking with the past and launching a new software organization built from the ground up. The Stellantis Software organization (SWX) was established in 2021 and brings an entirely new vision to the driving experience. Our mission is to design the most captivating experiences in Mobility, bringing “tomorrow’s” tech innovations closer to today, everyday. If you’re ready to help lead this automotive technology transformation, we want to hear from you. Visit https://careers.fcagroup.com/nextgen/ to learn more.
Stellantis was founded in 2021 as the result of a merger between Fiat Chrysler Automobiles and PSA Groupe. For more information, visit: https://www.stellantis.com/en/company/about-us
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The Global Analytics & Data Products Team is looking for a Data Engineer to join our team. Your mission is to establish the organization’s data infrastructure, promoting engineering best practices on data management, and keeping the high bar for data quality.
Responsibilities
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities

• Design, extend, and review data architecture, model, flow, and integration — be hands on and involved with every stage of the software development life cycle
• Develop state of the art code — influence/establish the software development culture of the team
• Partner with software engineers and data scientists to meet the need of upstream and downstream dependencies
• Establish standards and best practice for instrumentation within software engineering
• Work with external carrier stakeholders and internal partner teams to ingest connectivity data for data processing
• Keep up to date with the evolving Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies
• Design and implement secure, scalable, high-performance, and robust data services for connected vehicle data in distributed data processing platforms using modern Big Data technologies

Top Performers Will Be Able To Demonstrate

• Expert knowledge and experience with custom ETL design, implementation, and maintenance
• Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
• Comprehensive knowledge of relational database concepts, including: data architecture, operational data stores, Interface processes, Multidimensional modeling, master data management, and data manipulation
• Excellent communication skills with the ability to understand complex business problems and provide solutions
• Experience working on cross-functional teams and leading efforts to build data services from the ground up

EOE/Disability/Veteran
Basic Qualifications

• BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline
• Experience with workflow management engines (i.e. Airflow, Luigi, Azure Data Factory, etc.)
• Experience with creating containerized applications using Docker running them on Kubernetes
• Experience with continuous integration tools like Jenkins
• A minimum of 2 years or more of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores
• Understand how to work with Hive metastores
• Experience with one or more functional languages such as F#, Scala or Haskell
• Experience with more than one coding language
• A minimum 5 years or more of experience in the data engineering and software development life cycle
• Familiarity with time series database, data streaming applications, Kafka, Flink, and more
• Experience working with cloud Big Data platforms (i.e. Spark, Google BigQuery, Azure Data Warehouse, etc.)

Preferred Qualifications

• Experience with notebook-based Data Science workflow
• Experience with data quality and validation
• Experience using Spark, Presto, Hive, etc.
• Experience with Airflow
• Familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus
• Experience using Cats or ZIO
• Experience with designing and implementing real-time pipelines
• Experience with SQL performance tuning and E2E process optimization

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
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