
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.
🔥 1 minute ago
🏄 California – Remote
💵 $203k - $254.7k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Pinterest's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

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.
• Lead complex technical projects involving multiple cross-functional stakeholders to proactively and automatically identify and triage risks on the Pinterest platform • Design and drive adoption of robust quality and reliability frameworks across teams • Design and implement scalable, maintainable services providing automated, self-service, and reliable platforms for identifying and quantifying risks at scale • Drive architectural improvements and technical debt reduction by defining software engineering approaches for measurement, system reliability, and reproducibility • Mentor junior engineers and partners across teams on engineering best practices • Identify process gaps and refine team workflows • Independently triage and lead resolutions of complex production issues related to automated reporting, measurement methodologies, and proactive risk engineering
• Master’s degree (or its foreign degree equivalent) in Data Science, Analytics, Computer Science, or closely related quantitative discipline • Two (2) years of experience in the job offered or in a software engineer or data analytical/data science-related position • At least one year of experience with Python, including scripting, API development, automation, data processing, testing, debugging, and performance optimization • At least one year of experience with SQL, including complex joins, aggregations, window functions, data modeling, query optimization, and validation of business metrics • At least one year of experience with Spark, including batch and streaming workloads, ETL transformations, performance tuning, partitioning strategies, and scalable processing of high-volume datasets • At least one year of experience with Jupyter Notebook for exploratory data analysis, prototyping models and algorithms, documenting technical findings, visualizing results, and reproducible analyses • At least one year of experience with Git-based version control, including branching strategies, pull requests, code reviews, conflict resolution, release management, and collaborative development workflows • At least one year of experience designing, developing, testing, deploying, and operating production-quality software • At least one year of experience designing large-scale distributed systems • At least one year of experience designing and implementing AI-driven agentic workflows • Qualified applicants for U.S. roles must satisfy applicable work authorization requirements
• Full-time telecommuting is an option • Flexibility to do your best work
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