Sr. Analytics Engineer

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3 months old

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About Pinterest:  

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

We are looking for a Senior Software Engineer, 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

  • 5+ 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 leader who can prioritize the most important work even when many things seem urgent or important

 

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 

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Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.