Coderio designs and delivers scalable digital solutions for integral businesses. With a strong technical foundation and a 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.
The Data Engineer plays a key role in enabling the development of Data Products throughout their lifecycle—whether by sourcing data from raw, ungoverned systems with uncertain analytical value or from well-governed sources already integrated into the company's Data Lake. Data ingestion may occur through batch or stream processing. This role demands 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, resilient data pipelines.
**What to expect in this role + Responsibilities**:
Collect large volumes of diverse datasets
Collaborate with Data Scientists and ML Engineers to build robust, resilient data pipelines that feed 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
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 SQL knowledge, including query optimization and performance tuning.
Hands-on experience with GCP, especially Big Query 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 full ML lifecycle, including prompt engineering and model retraining workflows.
Advanced spoken and written English
**Nice to have**:
Experience with Terraform
Experience in 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 high-visibility role in a modern engineering culture
Collaborative international team and strong technical leadership
Clear path to growth and leadership within Coderio
Why join Coderio?

📌 Senior Data Engineer (México)
🏢 Coderio
📍 México