Senior Data Engineer

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Teachable

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💼 Consulting

📣 Marketing

✈️ Travel

💰 Seed Round on 2008-03

Consulting • Marketing • Travel

Teachable is a platform designed to help creators, educators, and entrepreneurs build and sell online courses, coaching sessions, digital downloads, memberships, and communities. It offers a suite of tools including sales and marketing features, AI capabilities, analytics, a mobile app, and a site builder, allowing users to customize their offerings and scale their businesses. Teachable supports a wide range of industries from personal development to technology, empowering over 150,000 creators to share their knowledge and earn income effectively. With an emphasis on user-friendly interfaces and comprehensive support services, Teachable ensures a quality experience for both creators and their students.

📋 Description

• Act as a senior technical reference in Data Engineering, setting data modeling and architectural standards and best practices for data pipelines at scale • Run high-impact data engineering initiatives across multiple domains • Partner with Product, Finance, Engineering, and other business teams to translate strategic needs into robust data solutions • Balance build-versus-buy decisions to maximize impact and efficiency in product analytics and infrastructure • Manage technical debt while ensuring scalability, reliability, and maintainability • Report to the Head of Data

🎯 Requirements

• Proven experience as a senior data engineer • Hands-on ownership of large-scale data pipelines and complex data architectures • Strong technical judgment, problem-solving skills, attention to detail, and process-efficiency mindset • Understanding of modern data engineering best practices, including data lakes, lakehouse architectures, and ETL/ELT approaches • Experience designing and operating cloud-native data platforms on AWS, including orchestration, storage, compute, and IAM • Strong experience with orchestration and workflow tools such as Airflow • Working knowledge of infrastructure-as-code principles and tools such as Terraform • Experience building and operating batch and streaming data systems, including trade-offs between them; examples include Kafka, Kinesis, and Spark Streaming • Strong communication and collaboration skills with technical and non-technical stakeholders in a distributed, international environment • Nice-to-have: DBT, metadata/catalog tools, DMS, AppFlow, SQS/SNS, Data Mesh, domain-driven data, and production-grade software systems experience • Must be based in Brazil • Must work according to Brasilia Standard Time • Hired as a CLT contract employee

🏖️ Benefits

• Fair and competitive pay using market data to inform pay bands • Base salaries reviewed at regular intervals, typically following annual performance review cycles or promotion • Remote-first culture and added flexibility • In-person company and team events throughout the year • Equal opportunity employer • Application and job-performance accommodations available