Required QualificationsBachelor's degree in Computer Science, Engineering, or related fieldPrevious experience in data engineering, focusing on extract and load stages of the pipelineExperience with GCP, dbt, Dagster, BigQuery, Cloud Functions, Adverity, Cloud Storage, Pub/Sub, Cloud Build, Cloud Logging, Airtable, and GitHubStrong knowledge of advanced SQL, Python, JavaScript, and data modeling principlesExperience with data quality and validation checksExperience with data pipeline optimization for scalability, reliability, and performanceHands‐on experience with structured and un‐structured database designExperience in digital marketing data sets, including Google Ads, Microsoft Ads, Facebook Ads, Pinterest Ads, TikTok Ads, theTradeDesk, and Google Analytics (plus)Experience creating and maintaining APIs (plus)SkillsStrong problem‐solving skills and ability to troubleshoot complex issuesExcellent communication and collaboration skillsAbility to quickly learn new systems and softw...