Data Engineering Manager - Remote

Overview

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.

In Short

• Seeking a seasoned Data Engineering Manager with 8+ years of experience.
• Responsible for leading and growing data engineering capabilities.
• Strong hands-on expertise in Python, SQL, Spark, and Snowflake required.
• Architect and optimize scalable data solutions for analytics and BI.
• Build and manage ETL/ELT workflows for structured and semi-structured data.
• Implement distributed data processing solutions using Apache Spark/PySpark.
• Collaborate with cross-functional teams to ensure data accuracy and accessibility.
• Enforce best practices for data quality, governance, and compliance.
• Mentor junior data engineers and foster a culture of innovation.
• Support AI demo initiatives with UI/front-end/full-stack development.

Requirements

• 6+ years in data engineering, with leadership experience preferred.
• Proficient in SQL, Python, and Snowflake.
• Experience with cloud-based data solutions (Azure preferred).
• Strong communication and stakeholder management skills.
• Proven ability to lead a technical team in a fast-paced environment.

Benefits

• Learning opportunities including certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business courses.
• Career development plans and mentorship programs.
• Special day rewards for personal milestones.
• Flexible working options for work-life balance.