[Hiring] Mid Data & Software Engineer @Experian

Role Description

We are looking for a Software Engineer to design, build, and evolve highly scalable and resilient data platform solutions that power Experian Marketing Services’ core products. In this role, you will work on large-scale, cloud-native data pipelines, optimize distributed processing systems, and ensure the reliability and performance of petabyte-scale workloads. You will operate within agile value stream teams, applying strong engineering practices and collaborating with global stakeholders to deliver high-quality, business-critical data solutions.

• Design, develop, and maintain large-scale data pipelines using Spark and cloud-native technologies, ensuring high performance, scalability, and reliability.
• Solve complex data engineering challenges by designing efficient, resilient distributed systems and optimizing data processing workflows.
• Contribute to production-grade data platforms, delivering high-quality, tested code and supporting end-to-end feature development.
• Ensure software quality through clean, testable, and well-documented code, code reviews, and adherence to engineering standards.
• Collaborate within agile value stream teams, working closely with engineers, product owners, and cross-functional stakeholders to deliver aligned technical solutions.
• Provide technical guidance to peers, contributing to architecture discussions, code reviews, and promoting best engineering practices.
• Support release and operational processes, including deployments, monitoring, alerting, and continuous improvement of system reliability.
• Drive improvements in performance, cost efficiency, and scalability of data processing workloads.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Solid experience in software or data engineering.
• Experience designing and operating highly parallelized data workloads.
• Proficiency with Git-based version control systems (GitHub, Bitbucket, etc.).
• Familiarity with agile methodologies and collaborative development in multi-team environments.
• Strong communication skills, with the ability to contribute in technical discussions and support peer development.
• Advanced English proficiency and availability to travel to São Carlos/SP when needed.

Requirements

• Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services such as S3, Glue, Athena, or equivalent.
• Expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark.
• Experience with functional programming (Scala) or languages such as Java, Python, or Rust.
• Familiarity with modern data platform architectures and large-scale data ecosystems.

Benefits

• Diversity initiatives to support inclusive recruitment and professional development.
• Affinity groups for underrepresented communities, including ExperianPride, Ubuntu, Women in Experian, Aspire, and Connecting Generations.