Staff Software Engineer, Infrastructure Data Engineering

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At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest is seeking a Staff Software Engineer to build the data systems that help teams understand and manage infrastructure usage and cost. You’ll lead the design and hands-on delivery of reliable data products, including pipelines, models, and services, that support infrastructure planning, cost attribution, and budget workflows. In this individual-contributor role, you’ll shape technical direction, navigate complex cross-team work, and make infrastructure data more accurate, consistent, and useful.

• Set technical direction and help define a roadmap for reliable, scalable infrastructure data products
• Design, build, and operate production ingestion and transformation pipelines, data models, and services for infrastructure usage, cost, ownership, and planning
• Strengthen shared data products with clear contracts, automated quality checks, reconciliation, documentation, and operational monitoring
• Lead ambiguous, cross-functional initiatives from problem definition and technical trade-offs through rollout and adoption; raise the engineering bar through mentorship and design reviews
• Leverage AI to scale the impact of yourself and the team, including:
  • Accelerate investigation of data-quality or pipeline issues while validating findings against source data and production evidence
  • Speed up implementation and documentation of data transformations and interfaces while testing and reviewing the results
  • Explore ways to help partners self-serve trusted infrastructure insights, protecting sensitive information and verifying outputs
    
    

• Bachelor’s degree in computer science, a related field, or equivalent practical experience
• Significant experience designing, building, and operating production data systems or data-intensive services at scale
• Strong software engineering skills in Python and SQL, with a record of writing tested, maintainable production code
• Deep experience with ingestion, large-scale ETL and transformation, data modeling, and workflow orchestration
• Experience designing data interfaces and contracts and improving quality, freshness, completeness, and consistency
• A track record of leading complex technical work across teams, from framing ambiguous problems to delivery and operation
• Ability to influence through technical judgment and clear communication and to mentor other engineers
• Experience operating dependable data pipelines or services, including testing, monitoring, and incident response
• Experience with AWS or similar cloud environments
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Bonus points for the following:
  • Experience with infrastructure cost or usage data, budgeting, shared data platforms, dbt, data lineage, or modeling hierarchical ownership
  • Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale
    
    

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country. 

• 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.