Quick summary
- Work type
- Remote
- Location
- San Francisco, CA
- Salary
- $177,185–$364,795 / yr
- Posted
- 13 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 93% of similar roles. Most pay $134,725–$214,850 — the shaded band above. At the midpoint, this role pays about $271k versus about $175k for comparable roles.
Based on 240 similar postings.
Employer
About Pinterest
Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.
Pinterest currently has 36 open roles on FindRole.
Listed pay typically runs $164,695–$332,012 across 35 roles with salary data.
Most-posted roles
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At a glance
TL;DR · Staff Software Engineer, Big Data, tvScientific
As a Staff Data Engineer at Pinterest's tvScientific team, you will lead the design and implementation of identity services and data governance platforms, ensuring trusted and privacy-safe data across the organization. Your day-to-day responsibilities include building scalable identity resolution systems, creating pipelines for ingesting and normalizing identity data from multiple sources, and implementing deterministic matching logic. You will also partner with product and analytics teams to expose identity data through reliable APIs and datasets while adhering to privacy-by-design principles such as PII handling and regulatory compliance. The role requires proficiency in Spark and Scala, experience with AWS services, and a strong understanding of data governance practices including metadata management and access controls. This position demands expertise in building large-scale data infrastructure and collaborating effectively across cross-functional teams.
Skills
What you'll do
- Design and maintain a scalable identity resolution platform.
- Build pipelines to ingest, normalize, link, and version identity data from multiple sources.
- Ensure transparent, auditable, and measurable deterministic and probabilistic matching logic.
- Implement privacy-by-design principles for handling PII and enforcing consent.
- Own data governance foundations including lineage, quality checks, schema enforcement, and access controls.
What we're looking for
- Production data engineering experience and proficiency in Spark and Scala.
- Bachelor’s degree in computer science or equivalent technical experience.
- Experience delivering large-scale services and APIs with complex datasets.
- Strong understanding of privacy-by-design principles for sensitive data.
- Familiarity with AWS services, data lakes, cloud warehouses, and storage formats.
- Successful design and implementation of scalable data infrastructure.
- High attention to detail in automated data quality checks and governance.
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