**About us** Coderio designs and delivers scalable digital solutions for global enterprises. With a strong technical foundation and product 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, building technology that makes a difference. More information: http://coderio.com The data engineer plays a key role in enabling the development of data products throughout their lifecycle, whether by acquiring data from raw, ungoverned systems with uncertain analytical value or from well-governed sources already integrated into the enterprise data lake. Data ingestion may occur through batch or streaming processing. This role requires strong technical expertise and a practical 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, resilient data pipelines. **What to expect in this role \+ Responsibilities:** Collect large volumes of diverse datasets Collaborate with data scientists and ML engineers to create robust and resilient data pipelines that feed data products Collect 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. Strong programming skills in Python Advanced knowledge of SQL, 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 pipelines and architectures. Experience working in UNIX environments, using Docker and CI/CD pipelines. Solid understanding of data structures and data processing challenges. Familiarity with the complete ML lifecycle, including rapid engineering workflows and model retraining. Advanced spoken and written English Reside in Latam **Nice to have:** Experience with Terraform Experience building scalable APIs Agility in identifying potential improvements, issues, and solutions in architectures DevOps culture **Benefits:** 100% remote Long-term commitment, with autonomy and impact Strategic and highly visible role within a modern engineering culture Collaborative international team and 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 opportunities for growth. If you're motivated to build impactful solutions, we're waiting for you. Apply now.