Sr. Data Engineer, tvScientific

Pinterest is a platform dedicated to inspiring creativity and helping users plan memorable experiences. As a Senior Data Engineer at tvScientific, you will implement robust data infrastructure and collaborate with cross-functional teams to evolve core data pipelines, ensuring efficiency and scalability to support the company's growth.

Responsibilities:

• 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

Requirements:

• 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
• 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
• 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