Lead Data Engineer

MUST HAVE: 5+ years of experience in data engineering within fast-paced, cloud-native environments Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto) Experience building and managing scalable ETL pipelines and data lake infrastructure Familiarity with distributed systems, Spark, and data quality best practices Strong cross-functional collaboration skills to support BI, analytics, and engineering teams EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations. YOUR ROLE Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.