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Senior Data Engineer at Launch Potato. . Location: La Plata, Argentina (remote). 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 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.. . OUTCOMES. . . Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business. . Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units. . Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth. . Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows. . Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity. . Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support. . Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture. . . COMPETENCIES. . . Data Engineering Mastery: . Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools. . Cross-Functional Collaboration: . Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions. . Proactive Ownership:. Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently. . Quality-Driven Execution: . Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows. . Strategic Thinking:. Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations. . Growth Mindset:. Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering. . Want 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.