Staff Software Engineer, Infrastructure Data Science
San Francisco, CA, US; Remote, US
Full Time Senior-level / Expert USD 170K - 350K
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.
Staff Data Engineer, Infrastructure
The Infrastructure Data Science & Engineering team’s mission is to provide actionable insights into Pinterest’s infrastructure - essentially the technical foundation (“bottom of the stack”) that all of Pinterest runs on. We are looking for a Staff Data Engineer to be the tech lead for the Data Engineering pod, which owns the pipelines that provide our data and visibility into Pinterest’s infrastructure cost and usage.
What you’ll do:
- Define the data engineering vision and roadmap to deepen actionable insights into Pinterest’s infrastructure cost and usage.
- Lead the team in developing production-ready pipelines, tooling, and scalable systems that empower teams to understand and optimize their infrastructure usage.
What we’re looking for:
- 7+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code in a production environment.
- Tech leadership experience. Being able to independently define a roadmap, align with stakeholders, and lead a team of more junior engineers to execute.
- Experience with data workflows (such as Airflow), data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
- Strong programming proficiency in Python, SQL, Spark, Scala, etc.
- Proven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company.
- Bachelor’s degree in computer science, a related field or equivalent experience.
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.
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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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$170,371—$350,763 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: Airflow Computer Science Data governance Engineering ETL Pipelines Python Scala Spark SQL
Perks/benefits: Career development Equity / stock options Flex hours Transparency
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