Mid Data & Software Engineer

BrazilRemoteFull-timemid

Software EngineerSoftware Engineering

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Quick Summary

Requirements Summary

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Solid professional experience in software engineering or data engineering.

Technical Tools

Software EngineerSoftware Engineering

We are looking for a Data & Software Engineer to design, develop, and improve scalable, cloud-native data platform solutions that support critical business products. In this role, you will build and optimize large-scale data pipelines, work with distributed processing systems, and help ensure the reliability of data workloads at petabyte scale. You will tackle complex engineering challenges while contributing to production-ready solutions built with strong software development practices. Working within agile, collaborative teams, you will partner with engineers, product owners, and global stakeholders to deliver impactful technical outcomes. This is an opportunity to deepen your expertise in modern data ecosystems while helping shape resilient, high-performance platforms in a technology-driven environment.

Design, develop, and maintain large-scale data pipelines using Apache Spark and cloud-native technologies, ensuring performance, scalability, and reliability.
Solve complex data engineering challenges by building efficient distributed systems and optimizing data processing workflows.
Contribute to production-grade data platforms through high-quality, tested code and end-to-end feature development.
Maintain clean, reusable, testable, and well-documented code while following engineering standards and participating in code reviews.
Collaborate within agile value stream teams, working closely with engineers, product owners, and cross-functional stakeholders.
Contribute to technical discussions, architecture decisions, and peer development by sharing knowledge and promoting engineering best practices.
Support software releases and operational processes, including deployments, monitoring, alerting, and continuous reliability improvements.
Identify and implement opportunities to improve processing performance, cost efficiency, and platform scalability.

Requirements

~1 min read

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Solid professional experience in software engineering or data engineering.
Experience designing and operating highly parallelized data workloads.
Proficiency with Git-based version control systems such as GitHub or Bitbucket.
Familiarity with agile methodologies and collaborative development across multiple teams.
Strong communication skills and the ability to contribute effectively to technical discussions and support colleagues.
Advanced English proficiency.
Availability to travel to São Carlos, São Paulo, when required.

Nice to have:

Hands-on experience with cloud-native data platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
Familiarity with cloud services such as Amazon S3, AWS Glue, and Amazon Athena, or equivalent technologies.
Experience building and optimizing large-scale data pipelines using Scala and Apache Spark.
Knowledge of functional programming, particularly Scala, or experience with languages such as Java, Python, or Rust.
Familiarity with modern data platform architectures and large-scale data ecosystems.