Databricks Data Engineer / Developer

Role Overview

This role offers the opportunity to contribute to a major enterprise data transformation initiative focused on building modern, scalable data platforms. The successful candidate will design and develop advanced data solutions that enable reporting, analytics, AI initiatives, and future data-driven capabilities.

What You Will Do

Design, develop, and maintain scalable data pipelines within an enterprise data platform environment. Build and optimize ETL/ELT processes supporting data ingestion, transformation, integration, and analytics requirements.

Why It Might Be a Fit

The ideal candidate is an experienced data engineering professional with strong Databricks expertise and a proven ability to deliver enterprise-scale data solutions in cloud environments.

Requirements

• 3+ years of hands-on Databricks development experience
• 4+ years of experience in data engineering, ETL development, data integration, or related disciplines
• Strong experience designing and developing ETL/ELT pipelines and transformation workflows
• Proven ability to work with large and complex datasets
• Experience developing solutions within cloud-based data platforms
• Strong understanding of data warehousing, data lakes, and lakehouse architectures
• Proficiency in SQL and Python development
• Experience with enterprise data platforms, data modernization, and migration initiatives
• Familiarity with Agile delivery methodologies and collaborative development environments
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data challenges
• Excellent communication skills and the ability to collaborate with architects, technical teams, project managers, and business stakeholders

Benefits

• Fully remote opportunity within Canada
• 6-month contract opportunity supporting a high-impact enterprise transformation initiative
• Opportunity to work on modern data platform architecture and cloud-based technologies
• Exposure to enterprise-scale analytics, AI, and future data-driven initiatives
• Opportunity to collaborate with experienced data professionals, architects, and business stakeholders
• Ability to contribute to innovative solutions using Databricks, lakehouse technologies, and modern engineering practices