
51 - 200 employees
Founded 2020
📣 Marketing
📱 Media
Marketing • Media • Advertising
Adelaide is a company that specializes in measuring omnichannel media quality through attention metrics. Their platform provides insights into media effectiveness across various channels, helping advertisers to optimize their media spend and improve campaign outcomes. Adelaide's attention metrics, such as the AU score, are designed to predict the likelihood of a media placement capturing attention and driving results, making it a valuable tool for media owners and marketers.
đź•’ October 6
🗽 New York – Remote
đź’µ $88.5k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2020
📣 Marketing
📱 Media
Marketing • Media • Advertising
Adelaide is a company that specializes in measuring omnichannel media quality through attention metrics. Their platform provides insights into media effectiveness across various channels, helping advertisers to optimize their media spend and improve campaign outcomes. Adelaide's attention metrics, such as the AU score, are designed to predict the likelihood of a media placement capturing attention and driving results, making it a valuable tool for media owners and marketers.
• Lead the data engineering team and own the pipelines that power Adelaide's AU metric • Design, ensure reliability of, and optimize Adelaide's data pipelines and data infrastructure • Supervise one Data Engineer • Structure and maintain data flowing from internal and external sources into the SaaS analytics dashboard and connected platforms • Maintain high uptime for the SaaS analytics dashboard and connected platforms • Design, build, deploy, and maintain reliable data pipelines with data engineers and data scientists • Maintain and optimize existing data pipelines and integrations • Optimize data stores for fast, efficient querying to support technology and reporting needs • Ensure the quality, reliability, and security of the data infrastructure
• Bachelor's degree in Computer Science • Proficiency in Python, Redshift, Postgres, SQL, Spark, Scala, and Airflow • Experience with the Pandas library and Docker • Familiarity with AWS technologies such as ECS, S3, Kinesis, Redshift, and EMR • Strong understanding of data structures and algorithms • Experience with machine learning • Passion for delivering high-quality, reliable data solutions • Experience in ad tech, measurement, or verification (optional) • Experience with high-throughput or near-real-time data pipelines (optional) • Experience with Snowflake or Looker (optional)
• Access to a broad network of investors and advisors who can help you and your team succeed • Mentorship from executives with decades of experience in adtech and media • Regular internal knowledge-sharing sessions • An education budget to support ongoing professional growth and development • Medical, dental, and vision insurance • Paid time off • Parental leave • Employee development & wellness stipend • Holiday break • Volunteer time off • Performance-based quarterly bonus • Stock options • 401(k) retirement plan • Remote-first environment • New York office access • Access to available WeWork spaces
Apply Nowđź•’ October 6
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