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. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact.

If you’re driven to build what’s next, lead with empathy, and deliver excellence without ego, you’ll feel right at home at Sparq.

Why You’ll Love This Role:

• Work with cutting-edge cloud data technologies in a dynamic, collaborative environment
• Tackle enterprise-scale data challenges, working with billions of rows of data
• Opportunities for career growth and skill development through mentorship and certification programs
• Fully remote work flexibility

About the Role:

We are seeking a Senior Data Engineer with expertise in Snowflake and dbt, with a strong focus on scalability and optimization. The ideal candidate has experience working with massive datasets at the enterprise level and can fine-tune and optimize Snowflake environments to enhance performance, cost efficiency, and best practices.

Responsibilities:

• Design and build scalable data pipelines in Snowflake and dbt, ensuring they can handle billions of rows of data efficiently
• Optimize Snowflake storage, compute performance, and query execution to improve processing speed and cost efficiency
• Lead efforts in migrating and refining legacy data processes in Snowflake using dbt, ensuring optimized transformations and modeling
• Apply now

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