Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

We are seeking a Staff Data Analyst to join our Data Science and Analytics team, focusing on Vehicle Quality and Reliability. This role is a senior technical leader central to our mission, responsible for defining the strategy and architecting the end-to-end data ecosystem that transforms raw vehicle and manufacturing data into actionable insights and predictive models. From the assembly line to the end of the trail, you will be the principal driver of data solutions that safeguard and enhance Rivian's product quality.

On our team, you will be instrumental in defining the next generation of data products that provide unparalleled, real-time insight into the reliability and performance of Rivian products. Rivian aims to set industry standards in quality and reliability, and this starts with the data foundations you will build and govern.

• Data Architecture & Strategy Ownership: Define, champion, and govern the long-term architectural strategy for critical reliability data pipelines and analytical platforms. Ensure solutions are scalable, secure, and meet enterprise-level standards for data integrity and governance.
• Complex Solution Engineering & Delivery: Lead the design and implementation of highly optimized, complex ETL/ELT pipelines using Python, Spark (PySpark), and cloud services. Solve deep technical challenges related to high-volume, streaming, and unstructured vehicle telematics data.
• Advanced Business Intelligence & Data Products: Serve as the principal technical expert for complex data retrieval, modeling, and analysis using advanced SQL and data modeling techniques. Define and mentor best practices for developing and deploying mission-critical technical dashboards and data products (e.g., in Hex, Databricks AIBI).
• Cross-Functional Tooling & Enablement: Drive the development and standardization of scalable analytical applications and internal data self-service tools that significantly improve operational efficiency and data literacy across Engineering and Quality teams. Mentor junior team members on application development standards.
• Analytical Leadership & Problem Definition: Autonomously investigate, scope, and resolve the most ambiguous and high-impact data problems related to vehicle performance and quality. Lead initial phases of predictive modeling initiatives, defining data features and collaborating closely with Data Scientists to transition prototypes to production.
• Mentorship & Code Governance: Establish and enforce code quality, data modeling standards, and deployment best practices (CI/CD) within the team. Act as a technical mentor and subject matter expert for junior and mid-level analysts and engineers.

• Deep Experience & Expertise: Typically 6+ years of progressive experience in Data Engineering, Data Analysis, or a related field, demonstrating a sustained track record of leading and delivering complex data solutions.
• Architectural & System Thinking: Proven ability to translate broad organizational challenges into well-defined, scalable technical roadmaps and data architectures.
• Technical Mastery: Expert proficiency in SQL and Python, including deep experience with the PySpark/Spark ecosystem for large-scale data processing. Mastery of data manipulation libraries (e.g., pandas) and experience with distributed computing paradigms.
• Platform Expertise: Extensive experience with modern cloud data platforms (e.g., Databricks, AWS/GCP/Azure data services). Experience with workflow orchestration tools (e.g., Airflow, Prefect).
• Code & Collaboration Standards: Expert level proficiency with Git and best practices for code collaboration, review, and deployment.
• Education: A Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Computer Science, Data Science, Electrical/Mechanical Engineering, Math, Statistics).

Salary Range/Hourly Rate for California Based Applicants: $149,7000-$187,100 (actual compensation will be determined based on experience, location, and other factors permitted by law).

Benefits Summary: Rivian 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, and Rivian covers most of the premiums.

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. 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 characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please note that we are currently not accepting applications from third party application services.