Senior Data Engineer

What is Teachable?
Teachable is trusted by creator-educators around the world to grow their impact and income. From online courses and communities to memberships and downloads, Teachable's digital learning products help creator-educators drive meaningful connection and sustainable revenue. With industry-best ecommerce tools, easily toggled on directly within the platform, creators can confidently maximize their earnings, while getting paid directly by their audience. Teachable's unmatched focus on the student learning experience also ensures creators can make a positive and influential impact on their communities-entirely on their own terms. Today, tens of thousands of creator-educators use Teachable to share their knowledge, reaching millions of students around the world. To learn more, visit teachable.com.
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, whose platforms have helped creators earn more than $10 billion, 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 team!
About 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 lake 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, Kafka for event collection, Redshift for analytics, and S3 for data lake storage. As a Senior Data Engineer, your expertise will be pivotal in influencing the tools and technologies we use, as well as setting best practices for the entire data ecosystem.
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.
This is a fully remote role based in Brazil, and you'll collaborate closely with teams across the U.S. and Brazil (including Hotmart's Data Team).
Your work will follow Brasilia Standard Time, and you'll be hired as a CLT contract employee with compensation in BRL.
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

• 4+ years of professional experience in data engineering.
• Proficiency in processes used in modern data engineering
  • Solid understanding of cloud infrastructure
  • Hands-on experience with relevant data-related AWS services
  • Advanced understanding of the relational data model
  • Experience interacting with RESTful APIs and webhooks
  • Understanding of DevOps disciplines and Git version control
  • A commitment to writing clean, efficient, and maintainable code
  • Familiarity with monitoring tools like CloudWatch or New Relic
  • Familiarity with incident management tools like PagerDuty is desirable
  • Understanding Software Engineering paradigms and lifecycle is desirable
• Proficiency in languages used in data engineering
  • Strong SQL skills
  • Expertise utilizing Python for data wrangling
  • Experience using Airflow for data pipeline orchestration
  • Experience with Spark creating big data workloads
  • Experience working with Delta Lake, Hudi or Iceberg
  • Experience working with large-scale data warehouses like Redshift
  • Experience with Terraform composing AWS infrastructure is desirable
• A team player who values diversity and collaboration

While Teachable maintains our NY office for local employees to use, we operate as a remote-first culture in order to give our employees added flexibility. In order to maintain connection and create a community beyond the screen, Teachable holds in-person events throughout the year, where employees and teams can come together for bonding, strategic alignment, goal-setting, and celebrations!
Teachable encourages individuals from a broad diversity of backgrounds to apply for positions. We are an equal opportunity employer, meaning we're committed to a fair and consistent interview process. Please tell us in your application if you require an accommodation to apply for a job or to perform your job.