About Us:
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.
Responsibilities:
Develop and scale our data analytics pipelines in Databricks to handle data from our growing vehicle fleet and our vehicle simulation.
Establish and operationalize performance monitoring systems for our data pipelines. Collaborate with stakeholders to refine SLAs as the monitoring matures.
Proactively design and deliver impactful architectural improvements to ensure the platform's long-term stability.
Design and implement data governance mechanisms that enable us to balance secure and wider collaboration with an uncompromised development process.
Contribute to the continuous development of tooling (e.g., Cursor and MCP servers) to increase developer velocity and integrate with Rivian systems.
Collaborate closely with colleagues in our offices in California and Serbia, acting as a key technical liaison to gather requirements and drive improvements to the platform.
Demonstrate strong organizational skills to manage multiple projects, meet deadlines, and deliver high-quality results.
Support the team's on-call rotation for any operationally critical systems.
Qualifications:
5+ years of professional software/data engineering experience, with a significant focus on data engineering or analytics.
Proficiency in building, testing, and optimizing production-grade data pipelines in Databricks, using Spark (PySpark/Scala) and SQL.
Strong Python and SQL skills.
Hands-on experience developing dashboards for analysis and reporting, leveraging tools such as Databricks Workspaces, Streamlit or Jupyter notebooks.
Familiarity with workflow orchestration tools (e.g. Apache Airflow) or data transformation frameworks (e.g. dbt) a plus.
Familiarity with autonomous systems development (e.g., perception, planning, control) or relevant domains such as robotics, simulation, or verification/validation.
Proven ability to debug and root-cause issues systematically.
Company Statements:
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