# Staff Software, Engineering – Analytics Engineering, Core Data Science **Company**: Pinterest **Location**: San Francisco, CA **Work arrangement**: remote **Experience**: staff **Job type**: full-time **Salary**: $177,185-$364,795 USD **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8015346?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_10f68901-392 ## Description About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. We are looking for a Staff Software Engineer to help improve the quality and velocity of data science at Pinterest. You will shape the future of the people-facing and business-facing products we build by creating rock-solid data foundations and tooling, and by leading a high-performance team that partners closely with our Core Data Science organization. Responsibilities: - Lead by example, and mentor a diverse team of analytics engineers with an inclusive culture. - Develop best practices for instrumentation and experimentation and communicate those to product engineering teams. - Build and prototype AI tools and analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed. - Use AI to accelerate analysis, prototyping, and iteration,drafting pipelines, exploring approaches, and automating repeatable documentation and QA,while applying judgment and verification to ensure correctness and quality. - Work closely with Data Scientists and Engineers to build tools and processes that enable self-service of key datasets, insights, and metric investigations. - Contribute to comprehensive documentation of tools and datasets, and drive the strategy for better data quality and data democratization within Pinterest. - Work cross-functionally to build and communicate key insights, collaborating with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. Requirements: - 6+ years of experience working with data in a fast-paced, data-driven environment. - Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R), including nested data structure manipulation, windowing functions, query optimization, and data partitioning techniques. - Experience conducting workflow orchestration and ETL/ELT with huge, complicated datasets and handling DAG data dependencies. - Consistent track record of supplying analytics solutions to existing teams, with the ability to take open-ended goals and scope them into defined, impactful objectives. - A team player able to partner with cross-functional leadership to quickly turn insights into actions, and an accountable operator who proactively identifies project opportunities amid competing priorities. - Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow, with a strong track record of critical evaluation and verification of AI-assisted work (testing, source-checking, data validation, peer review). - High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables. - Bachelor's, Master's, or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, or equivalent experience. Benefits: - Salary: $177,185-$364,795 USD - Equity eligibility - Flexible working model (PinFlex) - Opportunity to work remotely or in-office ## Skills ### Required - SQL - Python - R - data structures - metrics - AI - workflow orchestration - ETL/ELT - data dependencies ### Nice to have - automation - anomaly detection - infrastructure/workflow optimization - internal tooling --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8015346?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)