At a Glance
- Tasks: Build and scale data analytics pipelines using AWS and Databricks for our electric vehicles.
- Company: Join Rivian, a pioneering company on a mission to keep the world adventurous.
- Benefits: Enjoy competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Collaborative team environment with excellent career advancement opportunities.
- Why this job: Make a real impact on the future of autonomous driving with cutting-edge technology.
- Qualifications: 5+ years in software/data engineering, strong skills in AWS, Databricks, Python, and SQL.
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’re hiring a high‑impact Senior Software/Data Engineer to join our Autonomy Data, Tools and ML Infra Team. Your main focus will be to build and scale our analytics data platform and pipelines using AWS and Databricks. Our data platform processes petabytes of telemetry data from the vehicle fleet, enabling the Autonomy team to triage issues, calculate metrics and perform analysis. We are expanding the team because our data volumes will grow rapidly as we produce more vehicles and launch more sophisticated autonomy features. Your insights and improvements will be instrumental in providing accurate and up‑to‑date data for all our analysis and evaluation activities. Your work will directly influence the development of our software for millions of miles of real‑world driving.
Responsibilities
- Develop and scale our data analytics pipelines in AWS and 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.
- Experience designing, deploying, and maintaining systems using core AWS services (e.g., S3, EC2, Lambda) and understanding of cloud‑native architecture.
- Proficiency in building, testing, and optimizing production‑grade data pipelines in Databricks or 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.
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.
Sr. Software/Data Engineer, Autonomy (AWS/Databricks) employer: Rivian
Rivian is an exceptional employer located in Greater London, offering a dynamic and innovative work environment that prioritises sustainability and adventure. Employees benefit from a collaborative culture that fosters professional growth through continuous learning opportunities and cutting-edge projects in autonomous driving technology. Joining Rivian means being part of a forward-thinking team dedicated to shaping the future of transportation.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Software/Data Engineer, Autonomy (AWS/Databricks)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Rivian or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Rivian.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Rivian.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Rivian that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Sr. Software/Data Engineer, Autonomy (AWS/Databricks)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Rivian.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Rivian and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Rivian
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Rivian uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.