Data engineer

What is Teachable?Teachable is a no-code platform for creators who want to build a more impactful business through courses, coaching, downloadable content, and community. With Teachable, creators can engage their online audiences and get paid—on their own terms. Today, tens of thousands of creators use Teachable to share their knowledge and, to date, have reached more than 46 million students around the world. Are you ready to join a dynamic, cross-cultural team at an exciting turning point in our company's journey? Now part of the global Hotmart Company portfolio, Teachable continues to take the creator economy by storm as a true industry leader. Together, Teachable and Hotmart are delivering market-leading products that prioritize creator control and flexibility, alongside meaningful partnership and support from our team. If you have big ideas, relish the chance to challenge convention, and deeply believe in the power of creators to shape the future, we want you on our teamAbout your Team At Teachable, our Data Team is all about getting things done with minimal overhead. We work closely together, sharing ideas, designing efficient systems, and building a robust data platform that supports the entire organization. Reporting to the Data Engineering Manager, you'll take the lead on key initiatives, from optimizing our data platform to shaping the future of our events pipeline and ETL processes. Our data infrastructure is primarily hosted on AWS. We leverage managed Airflow for orchestration, managed Kafka for event collection, Redshift for analytics, and S3 for data lake storage. Working as a Mid-level Analyst, you will partner with Finance to build metrics and data models that facilitate data exploration and business logic integration, supporting the continuous improvement of the data platform.The Impact You'll Make In this role, you'll be at the heart of our data strategy, taking ownership of mission-critical infrastructure that supports teams across the company. You'll also have the opportunity to make strategic recommendations on how we can evolve our data platform to stay ahead of the curve.What You'll Do Partner with Engineering and Product teams on high-impact initiatives. Design and implement robust data pipelines using AWS services. Enhance event collection, queueing, and processing mechanisms. Build and refine meaningful alerts with automated corrective actions. Troubleshoot and resolve issues, ensuring system reliability and stability. Architect scalable data products with long-term vision and efficiency in mind. Identify and resolve complex technical challenges involving system integration, infrastructure, and software bugs.About You 2-3+ years of experience in Data Engineering Fluency in English is required Strong knowledge of modern data engineering practices and software engineering principles Solid experience with cloud infrastructure, especially AWS data services Advanced understanding of relational data modeling Strong SQL skills and Python for data wrangling Hands-on experience withdata laketechnologies (Delta Lake, Hudi, or Iceberg)Experience working with large-scale data warehouses (e.g., Redshift)Experience integrating with RESTful APIs and webhooks Familiarity with Dev Ops practices, Git version control, and clean coding standards Exposure to monitoring and incident management tools (e.g., Cloud Watch, New Relic, Pager Duty)Collaborative team player who values diversity and cross-functional collaborationNice to have: Experience with Infrastructure asCode (Terraform )Experience building and orchestrating data pipelines usingAirflowandSparkThis is a CLT contract with full benefits, paid in $BRL.