Sr. Data Engineer, tvScientific

San Francisco 22 hours agoFull-time External
Negotiable
About the position 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. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.\nAs a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. Responsibilities 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 formatsCollaborate with our cross-functional teams to design data solutions that meet business needsBuilt out fault-tolerant batch and streaming pipelinesLeverage and optimize AWS resources while designing for scaleCollaborate closely with our Data Science and Product teamsRequirements Production data engineering experienceProficiency in Spark and Scala, with proven experience building data infrastructure in Spark using ScalaFamiliarity 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 fieldNice-to-haves Experience 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, Delta