Data Engineer

The Role

Behind Avra's Foundation AI sits a critical layer: a data platform that ingests, structures, and operationalizes messy, real-world data into reliable inputs for our models and products.

As a Data Engineer, you will help build and evolve Avra’s data platform — the system that transforms messy, real-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 make systems more reliable over time. You won’t be expected to have all the answers. But you are expected to be curious, to go deep into problems, and to develop strong judgment by working on real 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 real-world data issues. Investigate data inconsistencies, handle schema changes, and debug pipeline failures.

• Improve reliability over time. Add monitoring, logging, and checks to make systems more observable and stable.

• 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 cloud platforms is a plus

Qualifications

• Experience - 2–4 years of experience in data engineering, backend engineering, or related roles

• Technical Skills - Experience with Python and SQL, and some exposure to data pipelines or distributed systems

• Mindset - Strong learning orientation and willingness to take feedback and iterate quickly

• Collaboration - Ability to work in a team, communicate clearly, and ask for help when needed

What We Offer

• Competitive Compensation - Attractive salary and equity participation

• Ownership & Impact - Direct influence on the foundation of Avra’s data platform and its evolution

• Technical Environment - Work on real-world data problems involving complex ingestion, reliability, and large-scale systems

• Lean, High-Quality Team - Work closely with experienced 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 real systems — not just isolated tasks — and want to learn how production data platforms actually work, we’d love to hear from you.