Senior Data Engineer​/Analytics Engineer

About Us

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

Role Summary

Rivian and Volkswagen Group Technologies is building a best-in-class data platform that empowers the entire organization to make data-driven decisions. We seek Engineers who excel at Innovation at Scale and are passionate about solving challenging technical problems.

As a Senior Data Engineer, you will take ownership of the design and implementation of complex, scalable ELT pipelines and data transformation logic. You will architect data models that enable self-service analytics and serve as a thought leader in driving data quality and engineering best practices within the data community.

Responsibilities

• Architect data models and schemas that enable self-service analytics and ensure data accuracy and consistency across the organization.
• Lead the design, build, and maintenance of scalable ELT pipelines and analytics workflows using advanced tools (Spark, dbt, SQL).
• Champion data quality through validation processes, monitoring frameworks, and automated testing.
• Develop and optimize complex Python and SQL-based transformation code to process and curate data.
• Monitor and improve the performance and reliability of data pipelines and platform infrastructure.
• Partner with platform engineers to integrate new tools, technologies, and frameworks into the data ecosystem.
• Serve as a mentor and technical leader within the data engineering community.

Qualifications

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, a relevant technical field or equivalent practical experience.
• Expertise in Python, Spark, dbt, and SQL for data transformation and pipeline development.
• Experience with modern cloud data platforms, including Databricks Snowflake, and Google Big Query.
• Proficient in data modeling principles and schema design for analytics.
• Proficient in scalable data pipelines on cloud platforms, preferably AWS, GCP, Azure.
• Experience deploying and maintaining scalable software, reliability, testing, and monitoring.

Preferred Qualifications:

• 5+ years of experience in data engineering or analytics engineering.
• Experience with version control systems (e.g., Git) and CI/CD workflows for data engineering projects.
• Experience with Infrastructure as Code tools (Terraform highly preferred).
• Experience with any data quality, data security, and monitoring initiatives.
• Experience with a modern data ingestion tool like Fivetran.

Pay Disclosure

Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $132,100 - $165,100 USD (actual compensation will be determined based on experience, location, and other factors permitted by law).

Salary Range for California (Irvine) Based Applicants: $121,500 - $151,900 (actual compensation will be determined based on experience, location, and other factors permitted by law).

Benefits

Summary:

Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment.

Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other…