Senior Data Engineer

Senior Data Engineer

About

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. Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence, unlocking value and fostering innovation. The company believes that the power of people and AI can create more fulfilling work and projects.

Responsibilities

• 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.

Requirements

• 5+ years of experience in Data Engineering.
• 2+ years in a Lead or Senior capacity.
• Strong experience with AWS ecosystem (Glue, S3, Athena, Step Functions).
• Strong hands-on experience with Python and PySpark.
• Strong hands-on experience with Snowflake (Plus).
• Deep understanding of data pipeline architecture and design patterns.
• Experience implementing and scaling CDC (Change Data Capture) patterns.
• Strong experience in data modeling for analytics and reporting.
• Experience leading initiatives or teams in data engineering environments.
• Familiarity with AI-assisted development tools (Plus).