[Remote] Software Engineer II, Big Data, tvScientific

Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that inspires creativity and innovation, and they are seeking a Software Engineer II for their tvScientific team. This role will involve designing and implementing robust data infrastructure and collaborating with cross-functional teams to enhance data pipelines and solutions.ResponsibilitiesDesign and implement robust data infrastructure in AWS, using Spark with ScalaEvolve our core data pipelines to efficiently scale for our massive growthStore data in optimal engines and formats, matching your designs to our performance needs and cost factorsCollaborate with our cross-functional teams to design data solutions that meet business needsDesign and implement knowledge graphs, exposing their functionality both via Batch Processing and APIsLeverage and optimize AWS resources while designing for scaleCollaborate closely with our Data Science and Product teamsSkillsProduction data engineering experienceProficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferredExperience in delivering significant technical initiatives and building reliable, large scale servicesExperience in delivering APIs backed by relationship-heavy datasetsFamiliarity with data lakes, cloud warehouses, and storage formatsStrong proficiency in AWS servicesExpertise in SQL for data manipulation and extractionExcellent written and verbal communication skillsBachelor's degree in Computer Science or a related fieldDemonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputsStrong 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 deliverablesExperience in adtechExperience implementing data governance practices, including data quality, metadata management, and access controlsStrong understanding of privacy-by-design principles and handling of sensitive or regulated dataFamiliarity with data table formats like Apache Iceberg, DeltaPrevious experience building out a Data Engineering functionProven experience working closely with Data Science teams on machine learning pipelinesBenefitsThe position is also eligible for equity.Information regarding the culture at Pinterest and benefits available for this position can be found here.Company OverviewPinterest 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/.