Senior Data Infra Engineer: Scalable Pipelines & Feature Stores

Uber

Seattle (WA)

Presencial

USD 202.000 - 224.000

Tempo integral

há 28 horas
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Benefícios oferecidos por esta vaga

Bonus program
Equity award
401(k) plan
Various benefits

Resumo da vaga

Uber seeks a Senior Software Engineer for Data Infrastructure in its Mobility Simulation and Planning group in Seattle. You will build and evolve feature stores and distributed data pipelines to support forecasting, simulation, and planning workflows across city-scale data.

The role emphasizes production-ready data infrastructure, validation, and self-service tooling, enabling model training, backtesting, and optimization with strong emphasis on reliability and cost efficiency.

Qualificações

  • 6+ years of professional experience in software engineering, data infrastructure, or a related technical role.
  • Strong programming skills in Python, Java, Scala, Go, or a comparable language.
  • Experience designing, building, and operating large-scale data pipelines or distributed data-processing systems.
  • Strong SQL skills and experience with data modeling, storage systems, and query-performance optimization.
  • Experience delivering technical projects from design through production rollout and ongoing operations.
  • Ability to communicate technical tradeoffs and collaborate across engineering and data science teams.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.

Responsabilidades

  • Build scalable data infrastructure: Design and evolve shared feature stores and distributed processing pipelines.
  • Make data trustworthy: Develop automated validation, monitoring, and alerting to detect freshness, completeness, and correctness issues.
  • Improve data lifecycle operations: Build efficient capabilities for incremental processing, historical backfills, schema evolution, data versioning.
  • Enable self-service: Create reusable frameworks, APIs, and developer tooling for engineers and scientists.
  • Optimize performance and cost: Identify bottlenecks and improve throughput and reliability.
  • Drive technical projects end to end: Translate requirements, lead implementation, own production health.
  • Collaborate and mentor: Partner with modeling and data teams to establish data foundations and conduct reviews.

Conhecimentos

Python
Java
Scala
Go
Data pipelines
SQL
Production rollout
Communication

Formação

CS/Engineering degree
Equivalent practical experience

Ferramentas

Apache Spark
Apache Hudi
Feature stores
Ray
Airflow

Descrição da vaga

Uber seeks a Senior Software Engineer for Data Infrastructure in its Mobility Simulation and Planning group in Seattle. You will build and evolve feature stores and distributed data pipelines to support forecasting, simulation, and planning workflows across city-scale data.

The role emphasizes production-ready data infrastructure, validation, and self-service tooling, enabling model training, backtesting, and optimization with strong emphasis on reliability and cost efficiency.

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