WHO ARE WE?Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.WHY JOIN US?At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.MUST HAVE:5+ years of experience in data engineering within fast-paced, cloud-native environmentsDeep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)Experience building and managing scalable ETL pipelines and data lake infrastructureFamiliarity with distributed systems, Spark, and data quality best practicesStrong cross-functional collaboration skills to support BI, analytics, and engineering teamsEXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.YOUR ROLELead 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.OUTCOMESBuild and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the businessOwn the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business unitsPartner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growthMaintain and enhance database monitoring, anomaly detection, and quality assurance workflowsServe as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrityDrive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data supportContribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering cultureCOMPETENCIESData Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source toolsCross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutionsProactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficientlyQuality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflowsStrategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovationsGrowth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineeringWant to accelerate your career? Apply now!Since day one, we've been committed to having a diverse, inclusive team and culture.
We are proud to be an Equal Employment Opportunity company.
We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.Originally posted on Himalayas
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