Blend360
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Data engineering, Data pipelines, AWS. Design scalable data pipelines. Develop scalable data pipelines”
Industry & Context.
Identify risks; Identify bottlenecks; Identify optimization opportunities
What They're Looking For.
Must Have
5+ years experience, 2+ years lead capacity, AWS ecosystem experience, Python and PySpark experience, Data pipeline architecture, CDC patterns experience, Data modeling experience
Nice to Have
Snowflake hands-on experience, AI-assisted development tools familiarity
What You'll Do.
Design scalable data pipelines
Develop scalable data pipelines
Build ingestion pipelines
Optimize ingestion pipelines
Support data model design
Implement data models
Ensure data reliability
Ensure data performance
Collaborate with teams
Align technical solutions
Apply data engineering best practices
Identify optimization opportunities
How You'll Work.
Team & Collaboration
Cross-functional teams
Full Job Description
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](http://www.blend360.com/) We are seeking a Senior Data Engineer to contribute to our next level of growth and expansion. What is this position about? We are looking for a Senior Data Engineer 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
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