Data Engineer, Mid-level

Onfly

full-time

Posted on: 10/15/2025

Location Type: Hybrid

Location: 🇧🇷 Brazil

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Mid-LevelSenior

PythonScala

About the role

Build and configure Data Warehouses (DW) and enable data sharing.
Collaborate on the design, documentation, maintenance, monitoring, and optimization of our data code and tools.
Consume and integrate data from APIs, ensuring effective handling of authentication, rate limits, and secure, efficient processing.
Translate business requirements into solutions and products compatible with the data platform's tools and strategies and with Onfly's operations.
Develop data solutions aligned with the area's strategy, always in compliance with Onfly's data governance.
Perform data ingestion and develop pipelines, often from scratch.
Ensure the quality and efficient performance of data pipelines.
Improve Data Warehouse and table architecture, following and evolving modeling standards.

Experience in data engineering within complex and/or large-scale environments.
Experience working with data pipeline orchestrators.
Experience implementing and maintaining data pipelines.
Strong programming experience with general-purpose languages (e.g., Python, R, Scala).
Good communication skills to interact with technical and business stakeholders.
Knowledge of data engineering best practices, such as documentation, version control, and automated testing.
Experience integrating Data Warehouses with CRM systems.
Knowledge of architecture and modeling techniques for analytical databases (e.g., Data Mart, Data Lake, Data Warehouse).
Intermediate English.

Benefits

Meal allowance on a flexible card R$35 (no 6% deduction)
Transportation allowance on a flexible card (no 6% deduction)
Unimed health plan, no co-payment and no monthly fee for the Onflyer (covered by the company)
Dental plan (discounted monthly fee)
Pharmacy discounts
No dress code
Online psychotherapy benefit
Gym benefits (Gympass)
90% scholarship for language studies
Discounts on undergraduate and graduate programs (UNA and UNIBH)
Funeral assistance (Grupo Zelo)
Extended maternity/paternity leave
Onhappy (exclusive platform offering discounted travel anywhere in Brazil)
Life insurance

Tip: use these terms in your resume and cover letter to boost ATS matches.

data engineeringdata pipeline orchestrationdata ingestiondata solutions developmentPythonRScaladata governanceautomated testingdata architecture

communication skills