Job Title

Position: Senior Backend Engineer (Data & Experimentation) Location:Remote from LATAMContract Type:Full-time vendor (via )Time Zone Alignment:EST ±2 hoursAbout is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.Project Overview You will join theExperimentation Platform team , the backbone of data-driven decision-making for a global leader. This team provides the foundational tools used across the entire organization to run A/B tests and validate new features.As a Senior Engineer, you will be a key player in theCentral Exposure Dataset initiative . This project is critical as it establishes the "source of truth" for experiment analysis—identifying exactly which users were exposed to which features. Your challenge will be handlingUser Sessions at scale , managing massive data volumes to move from fragmented data to a consolidated, high-performance index. Your work will ensure data scientists and analysts have reliable data without exceeding compute budgets.Key Responsibilities Architect & Implement:Design and develop high-performance data processing pipelines to manage the Central Exposure Dataset using Java. Scale Data Workflows:Build and maintain distributed systems capable of processing massive amounts of "User Session" data efficiently. Optimize Resources:Identify bottlenecks and perform deep-dive performance tuning to optimize compute resources and manage infrastructure costs. Collaborate & Innovate:Work closely with data scientists and analysts to translate complex experimentation needs into robust technical solutions. Maintain Excellence:Participate in architectural discussions and rigorous code reviews to ensure clean, maintainable, and well-tested codebases.Must-Have Skills Senior Expertise:6+ years of professional software engineering experience, with a focus on backend or data-intensive applications. Java Mastery:Strong, production-level experience inJava(Spring Boot or similar frameworks). Big Data Power:Hands-on expertise withApache Sparkfor large-scale data processing. Distributed Systems:Solid understanding of distributed systems architecture and complex data processing workflows. Efficiency Mindset:Proven ability to debug and optimize resource consumption in high-scale environments. Remote Pro:Experience working in Agile teams and distributed remote environments. Communication:Fluent English(written and spoken) for daily technical collaboration.Nice-to-Have Skills Cloud Infrastructure:Familiarity withAmazon EMR(Elastic MapReduce) or similar cloud-based big data environments. Domain Knowledge:Understanding of A/B testing methodologies, user cohorts, or exposure datasets. DevOps Culture:Familiarity with CI/CD pipelines and monitoring tools for data workflows.Location & Time Zone The role is100% remote for candidates based in LATAM . This position requires collaboration with teams aligned toCentral Time (CST) . A minimum overlap of 6 hours with the US business day is expected.Language All interviews, technical documentation, and daily stand-ups will be conducted exclusively inEnglish .#LI