Sr. Data Engineer, tvScientific

About tvScientific

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 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. 

What you'll do:

• 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


• Collaborate with our cross-functional teams to design data solutions that meet business needs


• Built out fault-tolerant batch and streaming pipelines


• Leverage and optimize AWS resources while designing for scale


• Collaborate closely with our Data Science and Product teams


• How we'll define success:
  
  
  
  • Successful 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
  
  
  
  

What we're looking for:

• Production data engineering experience


• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala


• 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


• Nice-to-Haves
  
  
  
  • 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
  
  
  
  

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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