NEAR.HUB is the first nearshoring hub for deep learning in North America, providing infrastructure for AI systems, including compute, secure data pipelines, and model‑training operations. Founded by experienced entrepreneurs, engineers, and industry leaders, the NEAR team has a proven track record of scaling businesses, managing institutional assets, and delivering cutting‑edge technology at scale. By operating from Mexico with U.S‑grade compliance, NEAR enables teams to train, evaluate, and deploy AI systems faster, with greater reliability and reduced costs, all while maintaining proximity to end markets. The company is dedicated to creating efficient and innovative solutions for modern AI challenges. Role Description This is a full‑time, on‑site role for a Senior Data Engineer based in the Mexico City Metropolitan Area. The Senior Data Engineer will design, implement, and maintain scalable data pipelines, data warehouses, and ETL frameworks. Responsibilities include ensuring data quality, optimizing data storage solutions, developing data models, and collaborating with cross‑functional teams to deliver high‑quality, actionable insights. Additionally, this role will involve troubleshooting data issues and enhancing overall system performance to support AI and machine learning initiatives. Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field; postgraduate studies or equivalent experience preferred Strong experience with AWS (S3, Redshift, Lambda, Glue, EC2); AWS certification is a plus Proven track record building and scaling data pipelines (ETL/ELT) in production environments Proficiency in Python and SQL Experience with distributed data processing frameworks (e.g., Spark) Solid understanding of data modeling, data warehousing, and cloud data architectures Experience working with large, complex datasets in cloud environments Familiarity with real‑time data processing and streaming pipelines is a plus Exposure to machine learning / AI workflows is a plus Strong problem‑solving skills and ability to work in fast‑paced, high‑growth environments 3-5+ years building and scaling data pipelines #J-18808-Ljbffr