Sr. Data Engineer (Snowflake/dbt)

At Sparq, we help companies solve the right problems—not just build more technology. We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI.

Requirements

• 3+ years of experience in data engineering, with a focus on cloud-based enterprise-scale data solutions
• Proven experience working with massive datasets (billions of rows) in Snowflake
• Hands-on expertise in Snowflake performance tuning, storage optimization, and cost management
• Deep experience with dbt for data transformation, testing, and workflow orchestration
• Strong proficiency in SQL and Python for data manipulation, automation, and optimization
• Experience working both with and without an architect to optimize Snowflake performance
• Strong understanding of data governance, security best practices, and role-based access control in Snowflake
• Excellent problem-solving and communication skills, with the ability to collaborate across teams

Benefits

• Fully remote work flexibility
• Opportunities for career growth and skill development through mentorship and certification programs