Senior Software Engineer - Experimentation & Data Pipelines

Uber; United States; On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonuses

Equity

401(k)

Job summary

Uber is seeking an experienced software engineer to own and evolve the Experimentation platform used by multiple Uber organizations. You will build scalable data pipelines using Spark and Presto to compute metrics, power analyses, and marketplace insights.

Join a team that emphasizes monitoring, real-time dashboards, and robust APIs, collaborating closely with data scientists and product managers to translate causal-inference models into production systems.

Qualifications

• Bachelor's or Master’s degree in Computer Science or related field, or equivalent experience.
• 5+ years of professional software development experience in production environments.
• Proven skills writing efficient, clean code in Go, Java, or Python.
• Ability to debug and fix software bugs in a production-scale environment.
• Experience with software engineering best practices and distributed systems fundamentals.

Responsibilities

• Own and evolve A/B and Marketplace Experimentation products at Uber.
• Build and optimize large-scale data pipelines in Spark/Presto to compute metrics and insights.
• Advance monitoring and alerting, expand real-time dashboards and anomaly detection.
• Collaborate with data scientists and product managers to translate causal-inference models into APIs and batch workflows.
• Maintain code health, write comprehensive tests, and conduct performance profiling and incident retrospectives.
• Design and document architectural solutions to complex engineering problems.

Skills

Go

Java

Python

Distributed systems

Observability

Documentation

Education

Bachelor's or Master's in CS or related field

Tools

Spark

Presto

PySpark

Pandas

Jupyter Notebooks

Job description

Uber is seeking an experienced software engineer to own and evolve the Experimentation platform used by multiple Uber organizations. You will build scalable data pipelines using Spark and Presto to compute metrics, power analyses, and marketplace insights.

Join a team that emphasizes monitoring, real-time dashboards, and robust APIs, collaborating closely with data scientists and product managers to translate causal-inference models into production systems.