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. C2C is not available Must be authorized to work in the U.S. without sponsorship Why you will enjoy Mondays again: Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment Progressive career journey and opportunity for advancement Continuous development through training, mentorship and certification programs Exposure to modern technologies across various industries in an agile environment Flexibility to work remotely, onsite or a hybrid of both as desired in certain locations Competitive salary + bonus opportunities Robust benefits package, matching 401(k) plan, and substantial PTO Tuition reimbursement A Day in the Life: We are seeking a highly skilled Senior Data Engineer with expertise in either Snowflake or Matillion, as well as experience with DBT and the Microsoft Data Stack, to join our dynamic team. The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and ETL processes, while also providing technical leadership and mentorship to junior members of the data engineering team. Design and implement scalable and high-performance data pipelines using Snowflake or Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics). Collaborate with cross-functional teams to gather requirements, define project scope, and develop data models.