We are looking for a Software Engineer II, Analytics Engineering to help improve the quality and velocity of data science at Pinterest. You will shape the future of people-facing and business-facing products we build at Pinterest, by building rock solid data foundations and tooling. Your expertise will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Data Science, Product Analytics, Data Engineering, Business Intelligence and others. The results of your work will influence and uplevel our data science and product development teams serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
• Work closely with Data Scientists and Engineers to build and prototype tools and processes that enable the self service of key data sets, insights, and metric investigations 
• Contribute to comprehensive documentation of tools and datasets
• Think big and drive the strategy for better data quality and discoverability within Pinterest

Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

What we’re looking for

• 3+ 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 SQL-based experience in nested data structure manipulation, windowing functions, query optimization, data partitioning techniques
• Experience in conducting workflow orchestration; ETL / ELT with huge and complicated datasets and handling DAG data dependencies
• Consistent track record of supplying analytics solutions to existing teams, with ability to take open ended goals and scope them into defined and impactful objectives.
• A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
• An accountable operator who can proactively identify project opportunities even when many things seem urgent or important

This position is not eligible for relocation assistance.

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

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