Vacantes en Guadalajara, Singapur

Coderio designs and delivers scalable digital solutions for global 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.

Learn more: http://coderio.com

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

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 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?

At Coderio, we value talent regardless of location. We are a remote-first company, passionate about technology, collaborative work, and fair compensation. We offer an inclusive, challenging environment with real opportunities for growth. If you are motivated to build solutions with impact, we are waiting for you. Apply now.