Data Engineer Analyst

Blend is seeking a Data Engineer Analyst to contribute to the design and implementation of scalable data solutions for a high-impact enterprise initiative. The role will involve working on data pipelines, data quality, and collaboration with cross-functional teams.

Requirements

• 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.

Benefits

• Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and Development: Career development plans and mentorship programs.
• Flexible working options to help you strike the right balance.
• Company-provided equipment.
• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.