About Rivian 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. Role Summary We are seeking a highly skilled Senior Analytics Engineer to join our Product Development Data & Analytics team. Our team partners with groups across Product Development, Supply Chain, and Manufacturing to define, build, measure, and enhance the systems and processes that enable the successful launch of a vehicle program—including product requirements, bill of material (BOM) development, issue and change management, and prototype build and validation. As a Senior Analytics Engineer, you will play a critical role in scaling our Product Data Catalog and building the next generation of analytics tools. You will be instrumental in democratizing our data to enable self-service analysis and refining our architecture to facilitate quality AI. The ideal candidate brings deep technical expertise in data architecture and dbt, and the leadership to scale data driven-decision making in a rapidly evolving EV production environment. Responsibilities Data Architecture & Modeling: Architect and maintain scalable ELT pipelines and data models for optimal data accuracy and consistency. Manage the Product Data Catalog within our enterprise Databricks Unity Catalog, ensuring clean, reliable, and intuitive semantic metric definitions using dbt. Advanced Analytics & Visualization: Develop and deploy mission-critical technical dashboards and data products (e.g., in Hex, Databricks AI/BI). Drive the development of core dashboards to serve everyone from executive leadership to functional working levels. Data Democratization: Drive initiatives to democratize data and metrics, enabling low-code and self-service analytics for users across the business to seamlessly conduct ad-hoc, root-cause analyses. AI Readiness & Innovation: Enrich the data catalog and refine model architecture to ensure reliability and AI comprehension. Contribute to a cross-organization knowledge base and drive the utilization of AI/ML models and agents for automation. Strategic Problem Solving: Proven leadership in architecting analytics platforms that solve complex operational problems. Autonomously investigate, dissect, and resolve complex business challenges spanning the vehicle development lifecycle Qualifications Required Qualifications: ● Bachelor’s degree in Computer Science, Mathematics, a relevant technical field or equivalent practical experience. ● 5+ years of proven experience in senior or staff positions in data engineering and analytics engineering. ● Expertise in SQL, Python, and dbt. ● Proficient in data modeling principles and schema design for analytics. ● Proficient in modern cloud data platforms (e.g., Databricks), with a strong command of latest features (Unity Catalog, Databricks AI/BI, Genie). ● Proficiency in data visualization tools such as Hex. ● Experience with version control systems (e.g., Git) and CI/CD workflows for data engineering projects. ● Strong communication skills with the ability to present complex technical concepts and data-driven insights to non-technical stakeholders. Preferred Qualifications: ● Prior experience in automotive or high-volume manufacturing environments. ● Experience working with bill of materials (BOM) data. ● Experience building and maintaining robust data ingestion pipelines leveraging Spark in Databricks jobs as well as Fivetran. ● Understanding of AI/ML models as applied to data analytics or automation. Pay Disclosure The salary range for this role is $135,100-168,900 for Southern California based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. The successful candidate may be eligible for annual performance bonus and equity awards. We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). 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 and Technology 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. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate. Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way. Interview Integrity & AI Policy Our interview process is designed to evaluate your personal technical foundation, real-time problem-solving logic, and structured capabilities. Therefore, the use of assistive generative AI tools to formulate or deliver your solutions during live interview sessions is not permitted. We care most about how you think — how you make sense of unclear requirements, weigh trade-offs, and explain why you chose one approach over another. We value your unique human perspective, your authenticity, and the journey it takes to reach a solution. Please note that we are currently not accepting applications from third party application services. Data Architecture & Modeling: Architect and maintain scalable ELT pipelines and data models for optimal data accuracy and consistency. Manage the Product Data Catalog within our enterprise Databricks Unity Catalog, ensuring clean, reliable, and intuitive semantic metric definitions using dbt. Advanced Analytics & Visualization: Develop and deploy mission-critical technical dashboards and data products (e.g., in Hex, Databricks AI/BI). Drive the development of core dashboards to serve everyone from executive leadership to functional working levels. Data Democratization: Drive initiatives to democratize data and metrics, enabling low-code and self-service analytics for users across the business to seamlessly conduct ad-hoc, root-cause analyses. AI Readiness & Innovation: Enrich the data catalog and refine model architecture to ensure reliability and AI comprehension. Contribute to a cross-organization knowledge base and drive the utilization of AI/ML models and agents for automation. Strategic Problem Solving: Proven leadership in architecting analytics platforms that solve complex operational problems. Autonomously investigate, dissect, and resolve complex business challenges spanning the vehicle development lifecycle Required Qualifications: ● Bachelor’s degree in Computer Science, Mathematics, a relevant technical field or equivalent practical experience. ● 5+ years of proven experience in senior or staff positions in data engineering and analytics engineering. ● Expertise in SQL, Python, and dbt. ● Proficient in data modeling principles and schema design for analytics. ● Proficient in modern cloud data platforms (e.g., Databricks), with a strong command of latest features (Unity Catalog, Databricks AI/BI, Genie). ● Proficiency in data visualization tools such as Hex. ● Experience with version control systems (e.g., Git) and CI/CD workflows for data engineering projects. ● Strong communication skills with the ability to present complex technical concepts and data-driven insights to non-technical stakeholders. Preferred Qualifications: ● Prior experience in automotive or high-volume manufacturing environments. ● Experience working with bill of materials (BOM) data. ● Experience building and maintaining robust data ingestion pipelines leveraging Spark in Databricks jobs as well as Fivetran. ● Understanding of AI/ML models as applied to data analytics or automation.
