Software Engineer II, Big Data

🕒 May 28

🏄 California – Remote

🏄 California – Remote

💵 $123.7k - $254.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 26%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pinterest

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

📱 Media

👥 B2C

💰 Post IPO equity on 2022-08

Media • B2C

Pinterest is a visual discovery and bookmarking platform that helps users discover, save, and organize images and ideas (Pins) for interests, projects, and shopping. It provides personalized recommendations and visual search so people can plan and explore topics like home design, fashion, recipes, and events, and it supports commerce features and ads for creators and retailers.

📋 Description

• Design and implement robust data infrastructure in AWS using Spark with Scala • Evolve core data pipelines to scale efficiently with company growth • Store data in optimal engines and formats based on performance and cost factors • Collaborate with cross-functional, Data Science, and Product teams on data solutions • Design and implement knowledge graphs exposed through batch processing and APIs • Leverage and optimize AWS resources for scale • Deliver and optimize data assets and APIs • Implement automated data quality checks • Define and implement a strategic vision for data engineering

🎯 Requirements

• Production data engineering experience • Proficiency in Spark and Scala • Experience delivering significant technical initiatives and reliable, large-scale services • Experience delivering APIs backed by relationship-heavy datasets • Familiarity with data lakes, cloud warehouses, and storage formats • Strong proficiency in AWS services • Expertise in SQL for data manipulation and extraction • Bachelor's degree in Computer Science or a related field • Ability to use AI to improve speed and quality in day-to-day workflow • Critical evaluation and verification of AI-assisted work • High integrity, ownership, sensitive-data protection, and accountability for decisions and deliverables • Experience in adtech, data governance, privacy-by-design, Apache Iceberg, Delta, Data Engineering functions, or machine learning pipelines are nice-to-haves

🏖️ Benefits

• Equity eligibility • Flexible working model / PinFlex • Equal opportunity employment • Medical or religious accommodation support