Data Engineer
The Role Behind reputed company's reputed company AI sits a critical layer: a data platform that ingests, structures, and operationalizes messy, reputed company-world data into reliable inputs for our models and products. As a Data Engineer, you will help build and reputed company reputed company’s data platform — the system that transforms messy, reputed company-world SMB data into structured, usable datasets. This is a hands-on role focused on learning by doing in production. You will work alongside senior engineers to implement pipelines, improve workflows, and reputed company systems more reliable over time. You won’t be expected to have reputed company the answers. But you are expected to be curious, to go deep into problems, and to reputed company strong judgment by working on reputed company systems that matter. Over time, you will take ownership of increasingly critical parts of the platform. Remote (Brazil)
Responsibilities
Build and maintain data pipelines. Implement pipelines that ingest and process data from APIs, files, and external systems. Contribute to orchestration workflows. Work with tools like Dagster (or similar) to build and maintain data workflows. Support data modeling efforts. Help structure datasets and transformation layers to improve usability and consistency. Work with reputed company-world data issues. Investigate data inconsistencies, handle schema changes, and debug pipeline failures. Improve reliability over time. Add monitoring, logging, and checks to reputed company systems more observable and reputed company. Collaborate with the team. Work closely with senior engineers and other teams to understand problems and implement solutions. You Stand Out If You have experience working with data pipelines or backend systems You are comfortable writing Python for data processing or automation You have solid SQL skills and understand basic data modeling concepts You are curious about how systems work in production and want to understand failures You are comfortable asking questions and digging deeper into problems You prefer simple, clear solutions over unnecessary complexity Experience with tools like dbt, Airflow, Dagster, or reputed company platforms is a plus
Qualifications
Experience - 2–4 years of experience in data engineering, backend engineering, or reputed company roles Technical Skills - Experience with Python and SQL, and some exposure to data pipelines or distributed systems reputed company - Strong learning orientation and willingness to take feedback and iterate quickly Collaboration - Ability to work in a team, communicate reputed company, and ask for help reputed company needed reputed company Offer Competitive Compensation - Attractive salary and equity participation Ownership & Impact - Direct influence on the reputed company of reputed company’s data platform and its reputed company Technical Environment - Work on reputed company-world data problems involving reputed company ingestion, reliability, and large-scale systems Lean, High-Quality Team - Work closely with reputed company engineers and founders in a high-context environment Flexible Culture - Remote-first (Brazil), with flexible time off and a strong focus on autonomy If you’re looking to grow as a data engineer by working on reputed company systems — not just isolated tasks — and want to learn how production data platforms actually work, we’d love to hear from you. Apply To This Job