Principal Data Engineer

Mobilisights: enabling a smarter world

Exponential growth in adoption and deployment of connected cars and devices is bringing previously unavailable datasets to market – at scale and in real-time. Our vision is a ‘smarter’ world where innovative applications and services leverage connected vehicle datasets, and the insights they provide, to dramatically transform and continually improve everyday lives for consumers and businesses.

Stellantis, one of the largest global car makers and the parent company of fourteen of the most iconic industry brands including Jeep, Fiat, Maserati, Peugeot, and more, has created Mobilisights, a Data-as-a-Service Business Unit, which will harness sensor and other data from millions of connected vehicles and other devices to support data products and services for a growing array of customers and applications.   

Our World   

Great mobility solutions start with great people!  This is an exciting time to join us!  

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate, and our people live and work.

At Mobilisights, 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.

EOE/Disability/Veteran

Basic Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related degree field
• 10 years or more of industry software engineering experience building software and a proven track record of having shipped successful software products & services
• 5 or more years of hands-on experience and deep expertise in architecting and building data products/platforms using popular public cloud platforms (AWS, Azure, GC)
• Experience in implementing streaming data and batch pipelines using but not limited to technologies like Kinesis, Apache Kafka, Apache Spark
• Experience in implementing data security and monitoring them with preventive and detective controls
• Experience in writing and optimizing SQL queries using AWS analytic stack
• Experience in NoSQL databases like Dynamo DB, Cassandra
• Experience in designing and practicing DevSecOps in data pipelines
• Experience in designing foundations of Operational excellence and implementing it
• Candidates with advanced degree in Computer Science/Eng or related fields accepted at lower experience level
  

 

Preferred Qualifications

• Be active in the industry, recognized for the application of science within your industry
• Exemplifies multidimensional skill sets – data engineering, experimentation, software development, etc
• Familiarity with modern data science and product analytics tools and techniques
• Experience with AI/ machine learning
• Being a renowned champion for best practices within the analytics, data, and engineering teams
• Provides context, not control, remaining highlight aligned but loosely coupled to your team
  

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 Annual