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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Backend / Data Software Engineer (Generalist) in Brazil.
In this role, you will work at the intersection of backend engineering and data infrastructure, building scalable systems that power both application logic and large-scale data processing pipelines. You will design and develop high-performance APIs while also contributing to robust ETL/ELT workflows that handle complex, high-volume datasets. The environment is highly technical, remote-first, and collaborative, with strong emphasis on ownership, autonomy, and engineering excellence. You will interact closely with product, analytics, and data science teams to translate data needs into reliable production systems. This is a hands-on role where you will shape architecture decisions and directly influence system scalability, reliability, and data quality. Ideal for engineers who enjoy working across backend and data domains in distributed systems environments.
Accountabilities
In this role, you will be responsible for building and evolving backend services while also contributing to the design and maintenance of scalable data pipelines. You will develop APIs, optimize data flows, and ensure systems are reliable, efficient, and production-ready.
- Design, build, and maintain scalable backend services and APIs using Python, ensuring high performance and reliability.
- Architect and optimize ETL/ELT pipelines using PySpark to process and transform large-scale datasets.
- Design and maintain relational database schemas and write optimized SQL queries for analytical and transactional use cases.
- Containerize applications and data jobs using Docker to support consistent deployments across environments.
- Collaborate with product, analytics, and data science teams to translate requirements into robust technical solutions.
- Contribute to system architecture decisions, ensuring scalability, maintainability, and best engineering practices.
Requirements
You are expected to bring strong backend engineering fundamentals combined with hands-on experience in data processing and distributed systems. You should be comfortable working in production environments, writing clean and testable code, and owning systems end-to-end.
- Strong proficiency in Python with experience building production-grade backend services (e.g., FastAPI, Flask, or similar).
- Advanced SQL knowledge, including query optimization, joins, and window functions, with experience in relational databases such as PostgreSQL or MySQL.
- Hands-on experience with PySpark and distributed data processing at scale.
- Experience containerizing applications using Docker and working with deployment workflows.
- Strong software engineering practices, including version control (Git), CI/CD pipelines, testing, and code reviews.
- Solid understanding of backend system design, distributed systems, and data modeling principles.
- Nice to have: experience with Apache Iceberg, AWS S3/S3 Tables, AWS Glue, or Step Functions for data orchestration and storage optimization.
Benefits
- Competitive and market-aligned compensation.
- Fully remote work with flexibility across Brazil.
- Opportunity to work on high-scale backend and data systems with real-world impact.
- Collaborative, engineering-driven environment with strong ownership culture.
- Exposure to modern data stack technologies and distributed systems challenges.
- Long-term growth potential in a fast-scaling, technical product organization.
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