Data Engineer Lead

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 The Data Engineer Lead is responsible for designing, developing, and supporting data solutions that enable reporting, business intelligence, and predictive analytics across the organization. The role includes modernizing recurring manual reports by converting Excel workbooks, manual data pulls, and repetitive processes into automated data pipelines and scalable BI solutions. In addition, the role is responsible for supporting the team's predictive model production processes, including model scoring, production data preparation, and ensuring reliable operational execution of analytical models. Responsibilities Design, develop, and maintain automated data pipelines and analytics solutions. Automate manual reporting processes and repetitive data workflows. Optimize SQL queries, data models, and processing performance. Support production data preparation and model scoring for predictive analytics. Monitor data quality, troubleshoot pipeline issues, and improve reliability. Collaborate with business and technical stakeholders to deliver scalable data solutions. Promote data engineering best practices and drive continuous improvements. Required: Strong experience as a Data Engineer, Analytical Data Engineer, Analytics Engineer, BI Developer, Reporting Engineer, or similar role, with a proven track record of designing, automating, a