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Data Engineer, Measurement

VideoAmp / US - Remote / Engineering & Modelling
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Job Overview

We are looking for a talented and enthusiastic Data Engineer who will be responsible for building and maintaining data products. You are passionate about all things data and tech and have extensive knowledge of the digital space. You are accomplished in the areas of Data Engineering and Analytics. you are ready to support the strategic objectives of a highly cross-functional organization.

Reporting to the Director of Engineering, this individual will be responsible for building and enhancing VideoAmp data products to provide insights and analytics to our internal and external clients.

This engineer will work closely with DevOps, Data Science, Product, and Customer Success teams to create a world-class SaaS product. This engineer will create/build the future of the VideoAmp DMP ecosystem. This person will also be adding value via building the team through a combination of mentoring, technical leadership, and/or direct management of other engineers. The company is looking for an extremely passionate, humble, and result-driven individual who enjoys working in a dynamic environment.

The successful candidate is a motivated, hardworking leader who possesses an extremely high bar for themselves and the quality of their work product. This is a highly technical position that requires a breadth of knowledge across multiple systems as well as a depth of knowledge on very specific technology


  • Python, Scala, Spark, Golang, NodeJS
  • Hive, Snowflake, Postgres, Jupyter
  • AWS, GCP
  • Kubernetes, Docker
  • Airflow


  • Build and enhance current data warehousing architecture to provide insights and analytics to our internal and external clients.
  • Design and develop stream and batch processing data pipelines
  • Productionalize Data Science projects
  • Optimize code to improve performance and scalability and reduce infrastructure costs
  • Implement monitoring and alerting for critical workflows and services
  • Develop and release using agile methodologies
  • Develop a deep understanding of our VideoAmp’s various operational systems and datasets in order to then extract data into the data warehouse, model it, and build data marts.
  • Play a key role in building the ETL/ELT stack to cleanse, transform and load data from different sources using multiple technologies.
  • Work closely with our internal business and product teams to define the end goal for any analytics needs of the company
  • Work with other Senior engineers, leads, and managers who are end-to-end owners and help us define the current and future of technology within the group and the entire company.

QUALIFICATIONS: The ideal candidate will be able to design and develop data pipelines to massage terabytes of Data to show meaningful insights and analytics with efficient solutions that keep our hosting costs down. This person will have a strong foundational knowledge of computer science and data modeling.

Additionally, we highlight the following personal, professional, and technological characteristics the ideal candidate will possess:

  • 3+ years - Modeling, measuring, and analyzing complex data
  • 3+ years - working with Python or similar programming languages like Scala, Java
  • 3+ years - Building and optimizing workflows on Snowflake, Hadoop, or other big data platforms
  • Understanding of ad-tech terms and methodologies preferred
  • Experience with data privacy and secure architectures
  • A college degree in the area of Computer Science or a related field is preferred

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VideoAmp Overview

The VideoAmp Platform enables advertisers to optimize their entire portfolio of linear TV, OTT and digital video to business outcomes, measuring how their ads performed against metrics that matter. Powered by the largest, highest quality commingled TV datasets and data science methodologies built from the ground up, we have created a privacy-compliant suite of solutions for advertisers, agencies and publishers to discover, amplify and analyze the entire path to conversion.

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