Staff Database Engineer
Databricks · Mountain View, CA | New York City, NY | San Francisco, CA · Engineering - Pipeline
About this role
Databricks is hiring a staff-level Database Engineer in the data engineering function based in Mountain View, CA | New York City, NY | San Francisco, CA. The posting calls out experience with PostgreSQL, Spark, Databricks, MLflow. Compensation is listed at $192,000–$260,000 per year.
- Role
- Database Engineer
- Function
- data engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Mountain View, CA | New York City, NY | San Francisco, CA
- Department
- Engineering - Pipeline
More roles at Databricks
Job description
from Databricks careersP-1700
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers and customer-obsessed, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. Lakebase provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI.
We are looking for a Staff Database Engineer to help build the Lakebase product, advising software engineering teams on functional and non-functional feature designs and working with product teams to validate that designs satisfy customer requirements. You will design operational tools to simplify troubleshooting and enterprise extensions for Lakebase to meet customer security and observability requirements. You will assist field engineers with complex and demanding POC’s and advise customers and field engineers on best practices for application and database design to maximize performance.