Rivian's Commercial Technology Data Team needs a Data Engineer to build data ingestion, aggregation, warehousing, and reporting capabilities to enhance internal visibility and improve the customer journey, ultimately driving key commercial decisions.
Requirements
- Proficiency in Python and SQL
- Proficiency with cloud infrastructures (AWS preferred)
- Familiarity working with AWS Lambdas, Docker and Kubernetes or other serverless and container-based architectures
- Solid understanding of databases (SQL and NoSQL.)
- Understanding of caching, security and privacy considerations
- Unit testing and test-driven development experience
- Systematic troubleshooting and root cause analysis experience
Responsibilities
- Use dbt and Databricks to develop and maintain comprehensive data catalogs for our factory, and shared services technology domains. Build tooling to support these catalogs with high levels of automation, including dbt tests and jobs.
- Write clean, readable, and well-documented code. Adhere to coding standards and best practices.
- Stay up-to-date on industry trends and advancements in data engineering and analytics, in particular dbt, dbt Labs and topics related to warehouse-as-code.
- Collaborate within a team of data engineers, scientists, and analysts to advance our data catalog and visualization capabilities in Databricks and Hex.
- Collaborate both in and across teams in the commercial organization
- Willing to support on-call rotation as needed for Production systems.
Other
- 1-3 years of professional software development experience, ideally with some exposure to Data Engineering or Analytics Engineering.
- Knowledge of Agile Development of Accessible Software Tools
- Bachelor's degree in CS or any STEM discipline.
- The ability to work in an on-call rotation as needed for Production systems.
