Software Engineer I - Data Platform
Aurora Innovation · Pittsburgh, PA · Software Technology Foundations
About this role
Aurora Innovation is hiring a mid-level Data Engineer based in Pittsburgh, PA. The posting calls out experience with Python, Go, gRPC, AWS and roughly 1+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $105,000–$157,000 per year.
- Role
- Data Engineer
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Pittsburgh, PA
- Experience
- 1+ years
- Education
- Bachelor's degree
- Department
- Software Technology Foundations
More roles at Aurora Innovation
Job description
from Aurora Innovation careersWho we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.
We’re searching for a software engineer to join Aurora’s Data Platform. The Data Platform Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets, along with their life cycle management. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system.
In this role, you will
- Contribute to the development of internal products and following best practices to simplify data retention.