Pinterest
Pinterest
1,001 – 5,000 Employees
H1B Visa SponsorB2CMedia
Pinterest is a visual discovery platform where people find inspiration, save ideas, and organize them around interests, projects, and purchases. Its experience combines personalized recommendations and visual search across topics such as home design, fashion, recipes, and events, while also helping creators and retailers reach audiences through commerce tools and advertising.

Senior Software Engineer, Data Analytics Engineering

Build scalable analytics foundations and tooling at Pinterest, enabling trusted datasets, reliable insights, and metric investigation for product and data teams.

Description

  • Define and document standards for instrumentation and experimentation
  • Work with product engineering teams to implement those standards across priority development initiatives
  • Develop and enhance scalable analysis pipelines and supporting tools
  • Build tools and operating processes that give teams independent access to trusted datasets, insights, and metric definitions
  • Surface data quality and discoverability issues and champion focused improvements
  • Keep documentation current for tools, datasets, metrics, and operating practices
  • Collaborate with Product, Engineering, Data Science, Data Engineering, and Business Intelligence teams to share actionable insights and guide product improvements
  • Apply AI to speed analysis, prototyping, and iteration while validating accuracy, quality, and responsible use

Requirements

  • At least four years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment
  • Proficiency with SQL and Python, R, or a comparable programming language for large, high-dimensional datasets
  • Knowledge of nested data structures, window functions, query optimization, and data partitioning
  • Experience building and operating data workflows, including orchestration, ETL or ELT pipelines, and DAG dependencies
  • Ability to turn open-ended partner needs into technical objectives and collaborate across Product, Engineering, Data Science, Data Engineering, and Business Intelligence
  • Demonstrated ability to use AI to improve the speed and quality of engineering workflows
  • Ability to rigorously validate AI-assisted work through testing, data validation, source checks, or peer review
  • Strong integrity, ownership, and accountability when handling sensitive data and deliverables
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience

Benefits

  • Eligibility for equity
  • Flexible working model through PinFlex
  • In-person collaboration one to two times per month
  • Equal opportunity employment and accommodation support

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