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Pinterest
Pinterest
1.001 – 5.000 Angajați
Sponsor pentru viza H1BB2CMedia
Pinterest este o platformă de descoperire vizuală unde oamenii găsesc inspirație, salvează idei și le organizează în jurul intereselor, proiectelor și achizițiilor lor. Experiența combină recomandări personalizate și căutare vizuală pentru subiecte precum designul interior, moda, rețetele și evenimentele, ajutând totodată creatorii și comercianții să ajungă la public prin instrumente de comerț și publicitate.
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Locurile de muncă ale companiei

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.

USStatele Unite ale AmericiiCACaliforniaNYNew YorkWAWashington
183.040 $ – 320.320 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer de analiză a datelor
ETLPythonSQL

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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