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Sr. Software Engineer (Data Engineering)

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Uber

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Location:
Canada , Toronto

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

173000.00 - 192000.00 CAD / Year
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Job Responsibility:

  • Work on creating a platform that powers data driven decision making for Uber Rides and Eats line of business
  • Be a technical lead for a team that works closely with sciences team to implement and productionize statistical models
  • Design, develop, and deploy new systems to empower fast data-driven decisions
  • Build distributed backend systems serving real-time analytics and machine learning features at Uber scale
  • Work with the product and science teams to build and drive the technical roadmap and vision for the team

Requirements:

  • 5+ years of full-time engineering experience
  • Experience working with multiple multi-functional teams (product, science, product ops etc)
  • Proficient in Big Data architecture, ETL frameworks and platforms
  • Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) and the eagerness to learn more
  • Expert in data-driven architecture and systems design
  • BS/MS/Phd in Computer Science or related field required

Nice to have:

  • Experience building sophisticated systems and knowledge of Hadoop related technologies such as HDFS, Kafka, Hive, and Presto
  • A passion for taking ownership. You pride yourself on efficient monitoring, strong documentation, and accurate test coverage and you call something "done" only when these are in place
  • Building and earning respect within the team and peers. You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement and you help others by returning the favour
What we offer:
  • Eligible to participate in Uber's bonus program
  • may be offered an equity award & other types of comp
  • eligible for various benefits

Additional Information:

Job Posted:
May 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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