Position: Senior Backend Engineer (Data & Experimentation) Location: Remote from LATAMContract Type: Full-time vendor (via )Time Zone Alignment: EST ±2 hours Aboutis 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 OverviewYou will join the Experimentation Platform team , the backbone of data-driven decision-making for a general 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 the Central 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 handling User 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 in Java (Spring Boot or similar frameworks).
Big Data Power: Hands-on expertise with Apache Spark for 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 with Amazon EMR (Elastic Map Reduce) or similar cloud-based big data environments.Domain Knowledge: Understanding of A/B testing methodologies, user cohorts, or exposure datasets.Dev Ops Culture: Familiarity with CI/CD pipelines and monitoring tools for data workflows.Location & Time Zone The role is 100% remote for candidates based in LATAM .
This position requires collaboration with teams aligned to Central Time (CST) .
A minimum overlap of 6 hours with the US business day is expected.LanguageAll interviews, technical documentation, and daily stand-ups will be conducted exclusively in English .
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