Zigsaw

Staff Data Engineer

Zigsaw

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

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Salary

💰 $155,584 - $320,320 per year

Job Level

About the 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
  • 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

Requirements

  • Data engineering experience with proven track record building data infrastructure using Spark with Scala
  • Proven experience building data infrastructure using Spark with Scala for at least 5 years
  • 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
  • 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
  • Excellent written and verbal communication skills
  • Bachelor's degree in Computer Science or a related field.
Benefits
  • Information regarding the culture at Pinterest and benefits available for this position can be found here.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringSparkScalaAPIsdata governancedata qualitymetadata managementdata lakescloud warehousesautomated data quality checks
Soft Skills
collaborationattention to detailcommunication
Certifications
Bachelor's degree in Computer Science