Staff Software Engineer, Big Data, tvScientific

Salary: $177,185 - 364,795 per year Requirements:

• Were looking for production experience in data engineering.
• We require a bachelors degree in computer science, a related discipline, or equivalent practical experience.
• We need strong proficiency in Spark and Scala, with hands-on experience building data infrastructure in Spark using Scala.
• We value experience leading major technical initiatives and developing dependable, large-scale services.
• We need experience delivering APIs powered by relationship-rich datasets.
• Were looking for someone who has implemented data governance practices, including data quality, metadata management, and access controls.
• We expect a solid understanding of privacy-by-design principles and the handling of sensitive or regulated data.
• We prefer familiarity with data lakes, cloud warehouses, and storage formats.
• We need strong experience with AWS services.
• Were looking for excellent written and verbal communication skills.
• We want proven ability to design and implement scalable, efficient data infrastructure.
• We value meticulous attention to detail when building automated data quality checks.
• We need effective collaboration skills for working across cross-functional teams.
• We expect demonstrated use of AI to improve speed and quality in day-to-day work for relevant outputs.
• We look for a strong track record of critically evaluating and verifying AI-assisted work through testing, source-checking, data validation, and peer review.
• We require high integrity and ownership, including careful protection of sensitive data, balanced use of AI, and accountability for final decisions and deliverables.

• We will design and maintain a scalable identity resolution platform.
• We will build pipelines and services to ingest, normalize, connect, and version identity data from multiple sources.
• We will ensure matching logic is deterministic, probabilistic, transparent, auditable, and measurable.
• We will partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets.
• We will develop and operate batch and streaming pipelines using modern data stack tools.
• We will create clear documentation, standards, and runbooks for identity and governance systems.
• We will own data governance foundations, including lineage, quality checks, schema enforcement, and access controls.
• We will implement privacy-by-design practices such as PII handling, consent enforcement, and retention policies.
• We will collaborate with legal, privacy, and security teams to operationalize regulatory requirements such as GDPR and CCPA.
• We will set up monitoring and alerting for data quality, freshness, and integrity.

• AI
• AWS
• Cloud
• Scala
• Security
• Spark
• Support

More:

We are Pinterest, where millions of people around the world come to discover creative ideas, imagine new possibilities, and plan meaningful moments. Were also the home of tvScientific, the first and only CTV advertising platform built for performance marketers, combining media buying, optimization, measurement, and attribution in one streamlined solution. Were hiring a Staff Data Engineer to lead the strategy, design, implementation, and evolution of our identity services and data governance platform. This is an individual contributor role focused on trusted, privacy-safe data and strong platform reliability. We offer a flexible working model, this position is not eligible for relocation assistance, and the role is US-based with a salary range of $177,185 to $364,795 USD plus equity. Were committed to an equitable, inclusive, and inspiring workplace, and we value candidates who bring strong foundations, clear thinking, and thoughtful use of AI in their work.

last updated 33 week of 2026