Staff Software Engineer, Infrastructure Data Engineering

Pinterest
New York, NY
Remote

In the 12 months to 30 Jun 2026, Pinterest filed 270 H-1B positions titled "Software Engineer". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Aimed at experienced infrastructure data engineers who lead cross-functional initiatives and operate large-scale data systems.

Best fit for

  • Experienced data engineers with a history of leading cross-functional projects and improving data quality through automation and contracts
    — “Lead ambiguous, cross-functional initiatives from problem definition and technical trade-offs through rollout and adoption”
  • Candidates who have built and operated scalable data pipelines and services in cloud environments like AWS
    — “Significant experience designing, building, and operating production data systems or data-intensive services at scale”
  • Individuals who can leverage AI to enhance data validation and pipeline efficiency while maintaining rigorous oversight
    — “Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs”

Things to consider

  • In-office attendance is required 1-2 times per month despite the remote option
    — “need to be in the office for in-person collaboration 1-2 times/month”
  • Candidates must be US-based and ineligible for relocation assistance
    — “US based applicants only”

How to stand out

  • Highlight experience with data contracts, pipeline monitoring, and incident response in your resume and interviews
    — “Experience designing data interfaces and contracts and improving quality, freshness, completeness, and consistency”
  • Emphasize your ability to mentor engineers and influence through technical judgment and communication
    — “Ability to influence through technical judgment and clear communication and to mentor other engineers”
  • Showcase your track record in delivering dependable data pipelines or services at scale
    — “Experience operating dependable data pipelines or services, including testing, monitoring, and incident response”
  • Demonstrate your hands-on work with large, cloud-native multi-tenant platforms, if applicable
    — “Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale”
  • Include examples of using AI to validate data transformations and protect sensitive information
    — “Explore ways to help partners self-serve trusted infrastructure insights, protecting sensitive information and verifying outputs”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • reliable data products
  • accurate cost attribution
  • efficient infrastructure planning
Typical background
software engineeringdata engineeringcomputer science

Skills & requirements

Required

Data EngineeringETLData ModelingData PipelinesData QualityData Governance

Preferred

AI IntegrationCloud PlatformsData Visualization

Stack & domain

PythonSQLETLData ModelingWorkflow OrchestrationData InterfacesContractsQuality ChecksReconciliationDocumentationOperational MonitoringProcoreHCSSAITechnical JudgmentCommunicationMentorshipDesign ReviewsInfrastructure DataCost AttributionBudget Workflows

About the role

Original posting from Pinterest

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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.

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

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 USDOur Commitment to Inclusion:

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.

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.

Source: Pinterest careers

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