Senior Analytics Engineer: Product Data & AI-Ready Platform

Rivian; Irvine (CA); On-site; USD 135,000 - 169,000; Full time

Job summary

Rivian is seeking a highly skilled Senior Analytics Engineer to join the Product Development Data and Analytics team in Irvine, CA. You will scale the Product Data Catalog, build advanced analytics tools, and democratize data for self-service insights across Product Development, Supply Chain, and Manufacturing.

The role demands deep data architecture expertise, dbt mastery, and leadership to enable data-driven decisions in a fast-paced EV production environment.

Qualifications

• Bachelor’s degree in CS, Math or related field or equivalent practical experience.
• 5+ years in senior or staff data engineering/analytics engineering roles.
• Expertise in SQL, Python and dbt.
• Proficient data modeling and analytics schema design.
• Proficient with cloud data platforms (Databricks) and Unity Catalog.
• Experience with data visualization tools such as Hex.
• Version control (Git) and CI/CD for data projects.
• Strong ability to present complex data insights to non-technical stakeholders.

Responsibilities

• Architect and maintain scalable ELT pipelines and data models.
• Develop dashboards and data products (Hex, Databricks AI/BI).
• Drive data democratization with low-code/self-service analytics.
• Refine data catalog and model architecture for AI readiness.
• Lead analytics platforms to solve complex operational challenges in vehicle development.

Skills

SQL

Python

dbt

Data modeling

Databricks

Unity Catalog

Hex

Git

CI/CD

Communication

AI/ML concepts

Education

Bachelor’s degree in Computer Science, Mathematics, a relevant technical field or equivalent practical experience

Tools

Databricks

Genie

Fivetran

Job description

Rivian is seeking a highly skilled Senior Analytics Engineer to join the Product Development Data and Analytics team in Irvine, CA. You will scale the Product Data Catalog, build advanced analytics tools, and democratize data for self-service insights across Product Development, Supply Chain, and Manufacturing.

The role demands deep data architecture expertise, dbt mastery, and leadership to enable data-driven decisions in a fast-paced EV production environment.