Staff Software Engineer, Infrastructure Data Science
Job Description
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.
#LI-HYBRID
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.
Our Commitment to Inclusion:
Interested in this job?
Applications are no longer being accepted for this job.
Safe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.