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 looking for an Analytics Engineer who will support our Product Development organization and cross-functional partners by architecting our data foundations. As part of the Product Development AI and Data Science team, you will be the bridge between source charger and vehicle telemetry and the high-stakes decisions that power our Charging, Battery, and many additional partner teams. Our mission is to bring clarity, rigor, and scale to the complex decisions required to build the world’s most adventurous electric vehicles. You will spend your time building the source of truth for critical engineering and business data—from low level vehicle telemetry to the real-world performance of our charging network. You are building the reliable data infrastructure that allows Rivian to scale. The ideal candidate must have an ability to ingest business and engineering needs and drive results with their data-based insights. They are adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Architect the Source of Truth: Develop and maintain production-grade data models in Databricks and dbt that unify high-velocity vehicle telemetry and charging session data. Build reliable, fast, and dynamic data tools, pipelines, and automated workflows that scale with our growing fleet and charging network. High-Fidelity Reporting: Design and deploy clear, effective dashboards and apps in tools like Plotly Dash that adhere to strict performance SLAs and design quality standards for a wide range of stakeholders including executive leadership as well as external partners Telemetry Insights: Extract and contextualize complex data from telemetry and business systems to identify performance bottlenecks and drive technical improvements in a range of outcomes across product development and business strategy. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Engineering Rigor: Implement software development best practices – including version control (Git), unit testing, CI/CD, and data quality monitoring – into the data lifecycle to ensure our reporting is as reliable as the vehicles we build. Qualifications Bachelor’s, master's, or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Materials Science, Physics, Mathematics, or another quantitative field 0-4 years of experience building production data pipelines and developing AI/ML solutions High level of programming proficiency in Python and SQL. You should be comfortable writing clean, modular code and querying complex relational databases. Analytics Engineering Mindset: Experience with and a strong desire to master dbt (data build tool) and Databricks/Spark environments. Software Fundamentals: Demonstrated experience with version control (Git) and an understanding of how to move a model from a notebook to a stable, reproducible environment. Domain Context: Prior experience or interest in physical engineering systems (Hardware, IoT, or Telemetry). Strong problem-solving skills with an emphasis on product development Excellent written and verbal communication skills for coordinating across teams and leading cross-functional efforts. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. A drive to learn and master new technologies and techniques NICE TO HAVE: UI/Visualization: Experience building user-facing applications using tools like Plotly Dash, Streamlit, and Hex DevOps for Data: Familiarity with Linux environments and CI/CD workflows for data pipelines. Advanced Stats: Knowledge of statistical concepts (regression, distributions) to help validate the accuracy of the models you support. Exposure to or hands-on experience with LLM application concepts such as retrieval, grounding, prompt/agent design, function/tool use, evaluation, safety/guardrails, and cost/latency optimization. Passion: An obsession with electric vehicles, renewable energy, and the future of sustainable transportation. Pay Disclosure The salary range for this role is USD 107,000 - 133,700 for 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). This job is not expected to be closed any sooner than April 20, 2026. 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.
Analytics Engineer Ii, Product Development
Analytics Engineer to support Product Development by architecting data foundations, building source of truth for critical engineering and business data, and enabling data-based insights for product and process optimization. Role involves building reliable data infrastructure, developing production-grade data models, pipelines, and automated workflows, and creating high-fidelity reporting.
What you'd actually do
- Develop and maintain production-grade data models in Databricks and dbt that unify high-velocity vehicle telemetry and charging session data.
- Build reliable, fast, and dynamic data tools, pipelines, and automated workflows that scale with our growing fleet and charging network.
- Design and deploy clear, effective dashboards and apps in tools like Plotly Dash that adhere to strict performance SLAs and design quality standards for a wide range of stakeholders including executive leadership as well as external partners
- Extract and contextualize complex data from telemetry and business systems to identify performance bottlenecks and drive technical improvements in a range of outcomes across product development and business strategy.
- Implement software development best practices – including version control (Git), unit testing, CI/CD, and data quality monitoring – into the data lifecycle to ensure our reporting is as reliable as the vehicles we build.
Skills
Required
- Python
- SQL
- dbt
- Databricks
- Spark
- Git
- data modeling
- data pipelines
- CI/CD
- data quality monitoring
Nice to have
- Plotly Dash
- Streamlit
- Hex
- Linux
- statistical concepts
- LLM application concepts
- retrieval
- grounding
- prompt/agent design
- function/tool use
- evaluation
- safety/guardrails
- cost/latency optimization
What the JD emphasized
- production data pipelines
- AI/ML solutions
- Python and SQL
- dbt (data build tool) and Databricks/Spark environments
- version control (Git)
- physical engineering systems (Hardware, IoT, or Telemetry)