Staff Data Engineer, tvScientific

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

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

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 Staff 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.