Software Engineer (Data Platform) - Freight

Software Engineer (Data Platform) - Freight

11 May 2021
California, Sanfrancisco, 94105 Sanfrancisco USA

Software Engineer (Data Platform) - Freight

About Uber Freight

Uber Freight connects shippers with truckers, much like the way Uber connects riders and drivers. The Freight team believes that empowering truck drivers will bring more open, efficient, and increasingly safer transportation to our roads. We are a team of sharp, entrepreneurial individuals bringing technologies, algorithms and lessons from Uber's core business into the $700B U.S. Transportations & Logistics industry. Comprised of Uber veterans and newcomers, we are looking for candidates who share our enthusiasm for disrupting today's toughest challenges in transportation. We are a Customer Obsessed team, and care deeply about our users, continually looking for opportunities to improve their lives.

About the Role

Data is the true differentiator for Uber Freight in the long run. We need your help to build out the data flywheel at Uber Freight. Better data will enable the team to build better products: understanding carrier preferences helps us surface the right shipment at the right time. In turn, better product offerings will attract more usage and generate more data for the team to leverage. You will work cross functionally with Data Scientists, Product Manager, Business Analyst and other Backend Engineers to make this happen.

Basic Qualifications
  • Minimum of 2+ years software development experience
  • Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra, Hadoop)
  • Experience in working on large-scale distributed systems
  • Experience developing backend micro-services (Golang, Java or Python)
  • CS degree or equivalent experience

Preferred Qualifications
  • Deep understanding on big data architecture and hands on building pipelines/frameworks/services (e.g. Hadoop, Hive, Hdfs, Kafka, Presto etc.)
  • At least two (2) years of software engineering experience
  • Demonstrated experience working collaboratively in cross-functional teams
  • Experience working in organization of different data maturity. You not only know what a mature data organization looks like but you also have opinions on how to plot a path there
  • Knowledge of the logistics and freight industry a plus

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