Stackadapt

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. Were looking to add Data Engineers to our data science team This team works on solving complex problems for StackAdapts digital advertising platform. Youll be working directly with our data scientists, data engineers, Engineering team, and CTO on building pipelines and ad optimization models.

The Stats & Analytics team at StackAdapt is responsible for managing the end-to-end data lifecycle, from ingesting diverse data types such as engagement events (impressions, clicks) and conversion data (purchases, website visits) to distributing this data across critical downstream services like reporting, billing, bidding, and analytics. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for powerful search and analytics, and HDFS for distributed storage. If you're passionate about solving large-scale data problems and working with cutting-edge technologies, the Stats & Analytics team offers an exciting opportunity. Working with team of engineers focused on building StackAdapt’s stats and analytics offeringBuild deep understanding and expertise in multiple different databases that house petabytes of dataArchitect scalable low-latency backend systems and data pipelines. Experience with working with large datasetsExperience with real-time analytics servicesProven track record of delivering results and leading growing, high-impact teamsAt least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology companyAt least 1 year of leadership experience, including all the responsibilities listed aboveA strong understanding of computer science fundamentals, data structures, and algorithmsUp to date knowledge and experience in the latest technologies, tools, and frameworksExperience with Go and high performance databases is a plusStackAdapters enjoy: &l

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. About the Team: The Stats & Analytics team at StackAdapt is responsible for managing the end-to-end data lifecycle, from ingesting diverse data types such as engagement events (impressions, clicks) and conversion data (purchases, website visits) to distributing this data across critical downstream services like reporting, billing, bidding, and analytics. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for powerful search and analytics, and HDFS for distributed storage. \n What you'll be doing: - Working with team of engineers focused on building StackAdapt’s stats and analytics offering - Build deep understanding and expertise in multiple different databases that house petabytes of data - Architect scalable low-latency backend systems and data pipelines. - Lead and mentor a team of talented engineers within the backend distributed systems team - Make a positive impact on the team's productivity and growth - Promote software development best-practices and conduct rigorous code reviews - Rigorously identify and solve technical challenges - Conduct interviews to attract and identify potential high performing candidates - Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved We'll be reaching out to applicants that have: - Experience with working with large datasets - Experience with real-time analytics services - Proven track record of delivering results and leading growing, high-impact teams - At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company - At least 1 year of leadership experience, including all the responsibilities listed above - A strong understanding of computer science fundamentals, data structures, and algorithms - Up to date knowledge and experience in the latest technologies, tools, and frameworks - Experience with Go and high performance databases is a plus StackAdapters enjoy: &l