Manager II, Data Warehouse Foundation
San Francisco, CA, US; Remote, US
Full Time Mid-level / Intermediate USD 160K - 330K
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.
The Data Warehouse team builds foundational datasets to drive critical business decision-making and reporting. To accomplish this, we’re looking for an experienced Engineering Manager who will lead a team of talented engineers to build both batch and realtime data pipelines and toolings. You will work with big data technologies to build foundational datasets that will power the data needs of Pinterest engineers, data analysts, product managers, data scientists, machine learning, business operations, finance, and more. You will work closely with teams and stakeholders around the world, including San Francisco, Seattle, New York, Toronto, and Dublin.
What you’ll do:
- Lead a team of talented data engineers primarily based in San Francisco Bay Area
- Mentor and guide the professional and technical development of team members
- Oversee the creation, evolution, and maintenance of foundational datasets used for analytics, reporting, and machine learning
- Collaborate with cross-functional product and engineering teams to understand the changing requirements and incorporate them in the roadmap
- Work with remote engineering teams and stakeholders around the world
What we’re looking for:
- 2+ years of Engineering Manager experience
- Enjoying working in an agile environment
- Strong communication, people development and software project management skills
- Big Data (petabytes scale) and Data Warehousing background
- Data Engineering experience (e.g. Python, Java, SQL, Workflow, Spark, Hive)
- Ability to work with distributed teams across multiple time zones and to maintain those relationships
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement
- 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.
- This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$160,520—$330,146 USDOur 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, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.Tags: Agile Big Data Data pipelines Data warehouse Data Warehousing Engineering Finance Java Machine Learning Pipelines Python Spark SQL
Perks/benefits: Career development Equity / stock options Flex hours Transparency
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