Data Engineer - 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. For more information, visit www.blend360.com

We are seeking a Data Engineer to contribute to our next level of growth and expansion.

In Short

• Design and build production-grade data pipelines in Databricks using Spark/PySpark and SQL.
• Develop and maintain an Analytics ID stitching pipeline.
• Build and manage modular data marts.
• Implement and maintain a scalable feature store.
• Own the end-to-end data lifecycle.
• Develop data quality frameworks.
• Implement CI/CD processes for multi-environment promotion.
• Coordinate orchestration workflows.
• Collaborate closely with Data Architects and Client stakeholders.
• Produce comprehensive technical documentation.

Requirements

• 4+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks and Apache Spark.
• Advanced SQL skills.
• Experience developing identity resolution pipelines.
• Experience designing and implementing data marts.
• Familiarity with data quality frameworks.
• Experience implementing CI/CD for data pipelines.
• Strong communication skills.
• Experience using Jira and Confluence.

Benefits

• Learning opportunities with certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths.
• Study plans and additional certifications.
• Access to Udemy Business.
• English lessons for professional communication.
• Travel opportunities to attend industry conferences.
• Career development plans and mentorship programs.
• Special day rewards for personal milestones.
• Company-provided equipment.
• Flexible working options.