Staff Software Engineer, Infrastructure Data Engineering

What you’ll do

• 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

What we’re looking for

• 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

In-Office Requirement Statement

• 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.
• Relocation Statement: This position is not eligible for relocation assistance. Visit our
• PinFlex page to learn more about our working model.
• #LI-REMOTE
• #LI-JT1

Pay and benefits

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 $177,185—$364,795 USD

Our Commitment to Inclusion

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.