Qualifications
Responsibilities:
Design and sustain a scalable identity resolution platform.
Develop pipelines and services to ingest, normalize, link, and version identity data from diverse sources.
Ensure transparent, auditable, and measurable deterministic and probabilistic matching logic.
Collaborate with product and analytics teams to deliver identity data via reliable, well-documented APIs and datasets.
Construct and manage both batch and streaming pipelines utilizing modern data stack tools.
Produce clear documentation, standards, and runbooks for identity and governance systems.
Oversee data governance foundations, including data lineage, quality assurance, schema enforcement, and access controls.
Implement privacy-by-design principles, managing PII handling, consent enforcement, and retention policies.
Partner with legal, privacy, and security teams to operationalize regulatory compliance (e.g., GDPR, CCPA).
Establish monitoring and alerting mechanisms for data quality, freshness, and integrity.
Qualifications:
Proven production data engineering experience.
Bachelor’s degree in Computer Science, a related field, or equivalent experience.
Expertise in Spark and Scala, with demonstrated experience in building data infrastructure using Spark and Scala.
Track record of delivering significant technical initiatives and developing reliable, large-scale services.
Experience in delivering APIs and working with complex data environments.
About the job
About tvScientific powered by Pinterest
tvScientific builds a connected TV (CTV) advertising platform tailored for performance marketers. The platform brings together media buying, optimization, measurement, and attribution in one system, using data-driven methods to automate and improve TV advertising outcomes. Founded by veterans in programmatic advertising, digital media, and ad verification, tvScientific offers advertisers a trusted way to grow their reach.
Role Overview: Staff Data Engineer
The Staff Data Engineer will lead the design, implementation, and ongoing development of tvScientific’s identity services and data governance platform. This role is central to maintaining reliable, privacy-compliant, and well-managed data across the organization.
Working at the intersection of data engineering, identity resolution, privacy, and platform reliability, this individual contributor will define and carry out the strategic direction for data engineering at tvScientific.
Location
- San Francisco, CA, US
- Remote, US