Staff Software Engineer, Big Data, Tvscientific
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 produ
What this role actually needs.
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 produ Responsibilities: - Design and maintain a scalable identity resolution platform - Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources - Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable - Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets - Build and operate batch and streaming pipelines using modern data stack tools - Create clear documentation, standards, and runbooks for identity and governance systems Requirements: - Establish monitoring and alerting for data quality, freshness, and integrity - Production data engineering experience - Bachelor’s degree in computer science, related field or equivalent experience - Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala - Experience in delivering significant technical initiatives and building reliable, large scale services - Experience in delivering APIs backed by relationship-heavy datasets Company context: Pinterest is the visual discovery platform that powers idea search and shopping across web and mobile.
Day-to-day expectations
Pinterest lists these responsibilities for the Staff Software Engineer, Big Data, Tvscientific role.
- Design and maintain a scalable identity resolution platform
- Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
- Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
- Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
- Build and operate batch and streaming pipelines using modern data stack tools
- Create clear documentation, standards, and runbooks for identity and governance systems
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Establish monitoring and alerting for data quality, freshness, and integrity
- Production data engineering experience
- Bachelor’s degree in computer science, related field or equivalent experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Experience in delivering significant technical initiatives and building reliable, large scale services
- Experience in delivering APIs backed by relationship-heavy datasets
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Staff Software Engineer, Big Data, Tvscientific is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
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Apply through the employer source
Open the source listing from pinterestcareers.com, confirm the role is still active, then apply on the employer or ATS page.
Source: pinterestcareers.com · Source ID: 7642253 · Confidence: 90/100 · Last checked: May 7, 2026
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