**About Us** Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product\-oriented mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, creating technology that makes a real difference. Learn more: http://coderio.com The Data Engineer plays a key role in enabling the development of data products throughout their lifecycle — from ingesting raw, ungoverned data with uncertain analytical value to leveraging well\-governed sources already integrated into the company’s data lake. Data ingestion can occur through batch or streaming processing. This role requires strong technical expertise and a hands\-on approach, with the ability to design and implement scalable, decoupled, and functional solutions. The Data Engineer collaborates closely with Data Scientists and ML Engineers to automate workflows and build robust, reliable data pipelines. **What to Expect \+ Responsibilities** Collect large volumes of diverse datasets Collaborate with Data Scientists and ML Engineers to build robust, resilient data pipelines powering data products Gather real\-world model interaction data to enable ML model retraining Contribute to the design, implementation, and production deployment of data ingestion components for the Data Lake Promote a strong technical culture by applying MLOps best practices to data products Design, implement, and maintain ETL pipelines Continuously design, develop, and test data\-driven solutions **Requirements** 5\+ years of experience as a Data Engineer 5\+ years of experience with Python Advanced SQL knowledge, including query optimization and performance tuning Hands\-on experience with GCP, especially BigQuery and other data processing services Proven ability to design, optimize, and test scalable data architectures and pipelines Experience working in UNIX environments, using Docker and CI/CD pipelines Strong understanding of data structures and processing challenges Familiarity with the full ML lifecycle, including rapid engineering and model retraining workflows Advanced English (spoken and written) Based in LATAM **Nice to Have** Experience with Terraform Experience building scalable APIs Ability to identify potential improvements, issues, and solutions in architectures DevOps culture mindset **Benefits** 100% remote work Long\-term engagement with autonomy and impact Strategic, high\-visibility role in a modern engineering culture Collaborative international team with strong technical leadership Clear path for growth and leadership within Coderio **Why Join Coderio?** At Coderio, we value talent regardless of location. We are a remote\-first company, passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you’re driven to build impactful solutions, we’d love to meet you. Apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.