Analytics Engineer II, Product Development

About Rivian

Rivian is on a mission to keep the world adventurous forever. We build emissions‑free electric adventure vehicles and seek curious, courageous souls to join us. We constantly challenge what’s possible, reframing old problems, seeking new solutions, and operating comfortably in unknown areas. Our diverse background fuels a shared love of the outdoors and a desire to protect it for future generations.

We are looking for an Analytics Engineer to 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 bridge the source charger and vehicle telemetry to the high‑stakes decisions that power our Charging, Battery, and partner teams. You will build the source of truth for critical engineering and business data—from low‑level vehicle telemetry to the real‑world performance of our charging network—while driving clarity, rigor, and scale for Rivian’s most adventurous electric vehicles.

• 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, 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 and external partners.
• Telemetry Insights:
  Extract and contextualize complex data from telemetry and business systems to identify performance bottlenecks and drive technical improvements 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.

• 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. 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.

• UI/Visualization:
  Experience building user‑facing applications using tools like Plotly Dash, Streamlit, and Hex.
• Dev Ops 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.

The salary range for this role is USD 107,000 – 133,700 for California‑based applicants. Successful candidates may be eligible for an…