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Staff Data Engineer

1 month, 1 week ago
United States
Full-time
Lead
Data Engineer
Software Development
Apache Spark AWS Scala
Apply Now
tvScientific

tvScientific

tvScientific offers a pioneering Connected TV advertising and marketing platform that integrates traditional television's impact with the effectiveness of digital advertising, specifically tailored for performance marketers.

Media
11-50
Founded 2020
$22M raised
View All Jobs 15

Description

  • Design and maintain a scalable identity resolution platform.
  • Build pipelines and services to ingest, normalize, link, and version identity data from multiple sources.
  • Implement transparent, auditable, and measurable deterministic and probabilistic matching logic.
  • Partner with product and analytics teams to deliver reliable APIs and datasets for identity data.
  • Build and operate batch and streaming pipelines using modern data stack tools.
  • Create documentation, standards, and runbooks for identity and governance systems.
  • Own data governance foundations, including lineage, quality checks, schema enforcement, and access controls.
  • Implement privacy-by-design practices, including PII handling, consent enforcement, and retention policies.
  • Work with legal, privacy, and security teams to operationalize regulatory requirements such as GDPR and CCPA.
  • Establish monitoring and alerting for data quality, freshness, and integrity.

Requirements

  • Production data engineering experience.
  • Bachelor’s degree in computer science, a related field, or equivalent experience.
  • Proficiency in Spark and Scala, with experience building data infrastructure in Spark using 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, including data quality, metadata management, and access controls.
  • Strong understanding of privacy-by-design principles and handling sensitive or regulated data.
  • Familiarity with data lakes, cloud warehouses, and storage formats.
  • Strong proficiency in AWS services.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to design and implement scalable, efficient data infrastructure.
  • High attention to detail in implementing automated data quality checks.
  • Effective collaboration with cross-functional teams.
  • Demonstrated ability to use AI to improve speed and quality in day-to-day work for relevant outputs.
  • Strong track record of critically evaluating and verifying AI-assisted work through testing, source-checking, data validation, or peer review.
  • High integrity and ownership, with the ability to protect sensitive data and remain accountable for final decisions and deliverables.

Benefits

  • Base salary range of $177,185 to $364,795 USD for US-based applicants.
  • Eligible for equity.
  • Relocation assistance is not available for this position.
  • Work model information is available through PinFlex.
  • Benefits information for the role is available through Pinterest Life.

Interested in this position?

Apply directly on the company website

Apply Now

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