• 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
• As a 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
• 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
• How we’ll define success:
• 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