Data Engineer

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Data Engineer Analyst to contribute to our next level of growth and expansion. What is this position about? We are looking for a Data Engineer Analyst to contribute to the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative. You will work within a specific data domain — such as Ingestion, Customer Data, Enrichment, or Marketing Signals — ensuring high-quality, reliable data pipelines that power analytics and business-critical workflows. You may work 100% remotely from anywhere in Mexico! Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions). Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures. Support the design and implementation of data models aligned with business and analytics needs. Ensure data quality, reliability, and performance across pipelines and datasets. Collaborate with cross-functional teams to align technical solutions with business requirements. Apply best practices in data engineering, including modular design, reusability, and governance. Leverage AI-assisted development tools to improve productivity and code quality. Proactively identify risks, bottlenecks, and optimization opportunities across data workflows. Technical Requirements Abi