Senior Data Engineer

Responsibilities

• Contribute to the design and development of scalable data pipelines on AWS
• 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
• 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

Preferred Qualifications

• Strong hands-on experience with Snowflake
• Familiarity with AI-assisted development tools

Benefits

• At-home medical assistance via EMI
• Private healthcare plans for Lead-level roles and above
• Savings incentive program with company contributions
• Forgivable education loans
• Family Day and academic graduation time off

About the Company

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.