Remote Data Jobs · Latin America

Build, maintain, and optimize data pipelines in AWS for processing and integrating diverse data sources. Clean, transform, validate, and structure financial and analytical datasets for downstream consumption. Develop and enhance Python scripts and workflows, including data transformations using Pandas and SQL. Automate manual and repetitive workflows to increase operational efficiency.

Join our global technology firm in a challenging role focused on driving automation, improving productivity, and leveraging data within core business processes. This hands-on role combines technical expertise in data analysis and automation tooling with a strong focus on generating business intelligence and optimizing organizational processes.

The Data Platform Engineering team is building the infrastructure to support a best-in-class decision engine. The role requires excellent communication to collaborate with Machine Learning Engineers, Data Scientists, and Analytics Engineers. The Data Platform Engineering team serves internal clients by maintaining infrastructure and tooling. The team advises backend and frontend teams to adopt the Event-Driven Data Mesh paradigm.

The Data & Analytics Manager will build and lead a data organization that transforms raw information into strategic insights and measurable business growth. This role exists to define and execute the company’s data strategy , ensuring every department—from marketing to operations—has the visibility, infrastructure, and analytics needed to make smarter decisions. Success means delivering actionable insights, scalable data systems, and a culture of data-driven excellence across the organization

As a Senior Data Engineer, you'll design and implement large-scale distributed data processing systems using technologies like Apache Hadoop, Spark, and Flink, building robust data pipelines and infrastructure. You'll transform complex data into actionable insights, ensuring scalability and fault-tolerance across our platform. You'll architect data lakes, warehouses, and real-time streaming platforms while implementing security measures and optimizing performance.

We’re looking for a Sr. Data Analyst to turn complex data into clear insights that drive strategic decisions across the business. In this role, you’ll partner with stakeholders across product, marketing, operations, success, and finance to uncover trends, optimize performance, and influence key business strategies.

Design and deliver machine learning solutions that combine modern research with practical deployment. Contribute to building robust models that power client-facing tools and internal platforms. Integrate models into deployable systems operating in production environments. Engage with stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into practical outcomes.

We are seeking technically skilled and business-aware Data Engineers to lead the development of scalable data infrastructure that powers B2B marketing analytics and decision-making. This role requires experience in Snowflake and the ability to collaborate with marketing technology teams, front-end developers, and CRM specialists to deliver data solutions that support customer engagement and internal operations.