[Remote] Staff Data Engineer, tvScientific

Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that inspires creativity and new possibilities, and they are seeking a Staff Data Engineer to implement robust data infrastructure for tvScientific. The role involves collaborating with cross-functional teams to evolve core data pipelines and design data solutions that meet business needs. Responsibilities • Design and 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, matching your designs to our performance needs and cost factors • Collaborate with our cross-functional teams to design data solutions that meet business needs • Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs • Leverage and optimize AWS resources while designing for scale • Collaborate closely with our Data Science and Product teams • Successful design and implementation of scalable and efficient data infrastructure • Timely delivery and optimization of data assets and APIs • High attention to detail in implementation of automated data quality checks • Effective collaboration with cross-functional teams Skills • Production data engineering experience • Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala • Experience in delivering significant technical initiatives and building reliable, large scale services • Experience in delivering APIs backed by relationship-heavy datasets • 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 • Previous experience building out a Data Engineering function • Proven experience working closely with Data Science teams on machine learning pipelines Benefits • Equity Company Overview • Pinterest is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.pinterest.com/.