Senior 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’re looking for a Senior Data Engineer to support the design, development, and optimization of data solutions for a high-impact enterprise initiative. This role is ideal for someone with strong hands-on experience in data processing, transformation, and validation, who thrives in building reliable and well-structured datasets for analytics and business workflows. You will work closely with cross-functional teams to ensure data is accurate, standardized, and ready for downstream consumption, contributing to scalable and high-quality data pipelines. What will you be doing? Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources. Lead the design and implementation of data ingestion architectures in Snowflake , ensuring scalability and reliability. Apply best practices in data validation to ensure accuracy, consistency, and reliability across datasets. Perform data transformation and normalization to support analytics and reporting use cases. Work with large datasets using SQL and Python to process and analyze data efficiently. Ensure data quality by implementing validation rules, checks, and monitoring processes. Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions. Support ETL processes and file handl