About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you'll do:
- 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
- Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
- Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
- Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
- Establish monitoring and alerting for data quality, freshness, and integrity
What we're looking for:
- 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
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Excellent written and verbal communication skills
- Successful design and implementation of scalable and efficient data infrastructure
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
- 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
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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#LI-REMOTE
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.
Skills Required
- Production data engineering experience
- Bachelor's degree in Computer Science or related field or equivalent experience
- Proficiency in Spark and Scala
- Experience delivering significant technical initiatives and building reliable, large-scale services
- Experience delivering APIs backed by relationship-heavy datasets
- Experience implementing data governance practices (data quality, metadata management, access controls)
- Strong understanding of privacy-by-design principles and handling sensitive/regulatory data
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Excellent written and verbal communication skills
- Proven design and implementation of scalable and efficient data infrastructure
- High attention to detail for automated data quality checks
- Effective collaboration with cross-functional teams
- Demonstrated ability to use AI to improve workflow and verify AI-assisted work
- High integrity and ownership protecting sensitive data and accountability for deliverables
What We Do
tvScientific is the first and only CTV advertising platform purpose built for serious performance marketers. The tvScientific platform makes TV advertising accessible and measurable for brands and apps of all sizes. tvScientific offers a self-managed solution that simplifies and automates TV buying and optimization, leveraging massive data to prove the actual value of TV advertising. The platform reaches 95% of AVOD inventory using proprietary, deterministic ID technology to measure ad exposure to outcome in an approachable, radically transparent and scalable way. An Idealab company, tvScientific was co-founded by senior executives with deep roots in programmatic advertising, digital media, and ad verification. The company is headquartered in Pasadena, California. For more information, visit https://www.tvscientific.com
