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A leading technology firm is seeking a Big Data Software Engineer III to join their Core ML Powerback Features Team. This remote position involves developing and maintaining backend systems for user-facing features, collaborating with design, product, and client teams. Candidates should possess strong Java backend development skills and experience with Big Data technologies like Hadoop and Spark. Excellent communication skills are essential for explaining system designs clearly. Join a dynamic team and contribute to high-impact projects from anywhere in Brazil.
Big Data Software Engineer III – Backend (Remote, Brazil)Location : Remote – BrazilSalary : $2,200 USD / month (FTE)About the Role : We are looking for a talented Big Data Software Engineer III to join the Core ML Powerback Features Team.
You will work on backend systems powering user-facing features, collaborating closely with design, product, and client teams to build high-quality, scalable solutions.What You'll Do : Develop and maintain backend features in core applications, from requirement gathering to implementation and launch validation.Collaborate with cross-functional teams on end-to-end functionality.Write reliable, maintainable, and testable code with a focus on technical excellence.Work with world-class engineers on high-impact projects, continuously learning and growing your skills.What We're Looking For : Strong experience in Java backend development.Hands-on experience with Big Data technologies such as Hadoop, Spark, and MapReduce.Ability to design, build, and maintain systems used by multiple engineers over the long term.Familiarity with RESTful APIs, storage, caching, and data processing.Excellent communication skills and ability to explain system designs and product implications clearly.Experience with Power BI or general Big Data tooling is a plus.Practical automation experience is beneficial.Preferred Experience : 3–5 years of professional experience in backend or Big Data engineering.Prior work on user-facing products, understanding user experience, and identifying quick product improvements.