Mid Software Engineer

Job not on LinkedIn

🕒 June 24

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 45%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native technologies. • Solve complex data engineering challenges by designing efficient, resilient distributed systems. • Contribute to production-grade data platforms, delivering high-quality, tested code. • Ensure software quality through clean, testable, and well-documented code, code reviews, and adherence to engineering standards. • Collaborate within agile value stream teams with engineers, product owners, and cross-functional stakeholders. • Provide technical guidance to peers, contributing to architecture discussions and promoting best engineering practices. • Support release and operational processes, including deployments and monitoring.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • Solid experience in software or data engineering. • Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure). • Strong understanding of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies. • 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.

🏖️ Benefits

• Health insurance • Professional development opportunities

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume