About the Role
We are currently looking for a strong
engineerto join the Data formats team to
- Design and implement distributed solutions to make new data available faster for business analytical needs.
- Drive reliability and operational scalability improvements through design and automation - scaling with the ever-increasing data volume flowing through the systems and the number of data sources producing data, observability, and monitoring.
- Drive efficiency efforts for one of the largest consumers of Uber’s Data Infrastructure.
- Collaborate with multiple partner teams to achieve these multifaceted goals.
- - - - Basic Qualifications ----
- Bachelor’s degree with 7+ years of experience.
- Strong problem solving and coding skills in at least one of Java / C++ / Python.
- Experience with developing, debugging, and shipping software products on large codebases.
- - - - Preferred Qualifications ----
- Masters or Ph.D. in Computer Science with 5+ years of experience or related subject area.
- Experience designing and executing large-scale distributed applications.
- Experience with big data infrastructure tools and software such as Spark, HDFS, Yarn.
- Demonstrated experience working collaboratively in cross-functional teams.
- Passion for learning new technologies, domains, and challenging the status quo.
For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.