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. As an engineer on the Data Platform team at Uber Freight, you will build and own tooling, pipelines and canonical datasets to power Uber Freight's analytics, intelligence and external data integration. You will be responsible for unlocking insights through strategic external data integration and acquisition. In short, you will be making the core of Freight's datasets reliable and our utilization efficient.

 

What the Candidate Will Do

• Build a scalable, reliable, operable and performant big data workflow platform for Uber's data scientists/engineers, AI/ML engineers, and operations folks.
• Drive the usage of Freight's data model across the organization with multiple product teams.
• Design and implement data integration services, best practices and reusable frameworks.
• Drive efficiency and reliability improvements through design and automation: data quality, performance, scaling, observability, and monitoring.

 

Basic Qualifications

• Bachelor's Degree (or higher) in Computer Science and related fields
• 2+ years of software development experience
• Programming skills with Python OR Java
• Previously worked on data processing and ETL, hands on building pipelines and workflow framework through Hive, Presto, Spark etc.
• Proven experience in data warehousing architecture and data modeling.

 

Preferred Qualifications

• Keen interest in solving business challenges and a good understanding of how data empowers business stakeholders.
• Good understanding of distributed systems and big data architecture (NoSQL/SQL, Kafka, Flink, Spark, Presto, etc).
• Proven experience in cloud data technologies like BigQuery, GCS, Cloud Composer etc.
• Demonstrated experience working collaboratively in cross-functional teams.

About Uber Freight 

Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.

Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.