Data Engineer (Remote - Latin America)

1-5 years of working experience in fast-paced environments High tolerance for ambiguity Passion for constant learning Motivated, highly adaptive people Ability to interact with customers and perform technical work Understand needs, extract requirements, and design and propose solutions Curious and driven to learn Proactive and a self-starter Comfortable with Python and SQL fundamentals Know when and how to leverage AI tools to accelerate work while maintaining quality and understanding Eager to leverage AI tools (ChatGPT, Claude, Gemini, etc.) to fuel creativity and problem-solving Understand AI’s limitations and know the boundaries to ensure delivery of proper work Collaborative and communicative Adaptable Process-minded Detail-oriented CEFR level C1 (Advanced) English proficiency

Help design and implement data pipelines and analytic infrastructures with the latest technologies. Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities. Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery. Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities. Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms. Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers’ infrastructures into cohesive platforms that power their growth. Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect. Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers. Develop technical documentation and best practices for our customers. Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes. Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve. Coordinate projects, activities, and tasks to ensure objectives and key results are met. Identify opportunities, generate innovative solutions, and improve existing product features.