About the job
WHO WE ARE:
Launch Potato is a leading digital media enterprise, engaging over 30 million visitors monthly through our renowned brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, we strive to bridge consumers with top-tier brands using innovative, data-driven content and cutting-edge technology.
Headquartered in vibrant South Florida, our remote-first team spans 15+ countries, fostering a high-growth, high-performance culture defined by speed, ownership, and impactful results.
WHY JOIN OUR TEAM?
At Launch Potato, you will fast-track your career by taking charge of outcomes, working swiftly, and creating meaningful impact alongside a global network of high achievers.
REQUIRED QUALIFICATIONS:
- Minimum of 5 years’ experience in data engineering within dynamic, cloud-native environments.
- Proficient in Python, SQL, Docker, and AWS services (S3, Glue, Kinesis, Athena/Presto).
- Experience designing and maintaining scalable ETL pipelines and robust data lake architectures.
- Familiarity with distributed systems and Spark, alongside best practices in data quality.
- Exceptional cross-functional collaboration skills supporting BI, analytics, and engineering teams.
EXPERIENCE: Minimum of 5 years of data engineering expertise in AWS-centric environments, where data drives critical decisions across product development, marketing, and operations.
YOUR ROLE:
Lead transformative data engineering initiatives that equip cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence frameworks support strategic expansion.
EXPECTED OUTCOMES:
- Develop and refine scalable, efficient ETL and data lake processes that proactively identify issues before they affect business operations.
- Oversee data ingestion, modeling, and management...

