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Role Description

As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

• Implement robust data infrastructure in AWS, using Spark with Scala
• Evolve our core data pipelines to efficiently scale for our massive growth
• Store data in optimal engines and formats
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Built out fault-tolerant batch and streaming pipelines
• Leverage and optimize AWS resources while designing for scale
• Collaborate closely with our Data Science and Product teams

Qualifications

• Production data engineering experience
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
• Familiarity with data lakes, cloud warehouses, and storage formats
• Strong proficiency in AWS services
• Expertise in SQL for data manipulation and extraction
• Excellent written and verbal communication skills
• Bachelor's degree in Computer Science or a related field

Requirements

• Experience in adtech
• 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 table formats like Apache Iceberg, Delta

Benefits

Information regarding the culture at Pinterest and benefits available for this position can be found here .

Company Description

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.