tvScientific is a company that provides a cutting-edge platform for connected TV (CTV) advertising. It offers solutions for precise targeting, premium inventory access, and total control over advertising campaigns. Advertisers can leverage thousands of unique behavioral targeting segments to reach their ideal customers. The platform emphasizes radical transparency and delivers real-time insights into campaign performance, targeting, and attribution. tvScientific aims to optimize advertising spend by focusing on tangible business outcomes and offering tools for real-time optimization and brand safety. It serves various industries including retail, mobile games, fintech, and insurance, and caters to consumer brands of all sizes.
March 1
tvScientific is a company that provides a cutting-edge platform for connected TV (CTV) advertising. It offers solutions for precise targeting, premium inventory access, and total control over advertising campaigns. Advertisers can leverage thousands of unique behavioral targeting segments to reach their ideal customers. The platform emphasizes radical transparency and delivers real-time insights into campaign performance, targeting, and attribution. tvScientific aims to optimize advertising spend by focusing on tangible business outcomes and offering tools for real-time optimization and brand safety. It serves various industries including retail, mobile games, fintech, and insurance, and caters to consumer brands of all sizes.
•As a Senior Data Engineer at tvScientific, you will be a key player in designing and implementing robust data infrastructure. •Collaborate with cross-functional teams to build out core data pipelines, store data in optimal engines and formats, and feed machine learning models. •This role is an individual contributor with the potential to lead, working closely with the VP of Technology to define and implement a strategic vision for data engineering.
•7+ years of experience in data engineering. •Proven experience building data infrastructure using Spark with 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. •Experience in adtech. •Familiarity with Elastic Map Reduce (EMR). •Previous experience leading and/or building out a Data Engineering function. •Proven experience working closely with Data Science teams on machine learning pipelines.
•Full health, dental, and vision insurance - up to 95% funded by the company for employees. •Employee stock option program. •Company-sponsored retirement plan with a matching contribution program. •12 annual paid holidays (including 2 flexible days). •Generous PTO policy (get your work done and take the time you need). •A remote-first environment that allows employees flexibility to work from most places in the US.
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