$ cat jobs/senior-gcp-data-engineer-sparq-cfda9040c3a1.json
Senior GCP Data Engineer
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 work alongside a talented, diverse team in a collaborative and creative environment Ongoing investment in your growth through training, mentorship, and industry certifications Hands-on exposure to cutting-edge technologies across multiple industries Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program Remote or hybrid work options Competitive salary + bonus opportunities Robust benefits package, matching 401(k) plan, and substantial PTO Tuition reimbursement A Day in the Life: Own data pipelines end to end—from ingestion and transformation through validation and delivery—while bridging modern cloud data architecture with legacy enterprise reporting systems still in active use. Architect solutions for scale, including designing data models, partitioning and clustering strategies, and query optimization for datasets ranging from multiple terabytes to petabytes. Apply advanced, hands-on Google Cloud Platform and BigQuery expertise to make architectural decisions related to partitioning, clustering, and cost and slot management. Build and operate production pipelines from ingestion through final delivery, taking full ownership rather than contributing to only one part of a shared system. Use advanced SQL to develop complex queries and optimize performance at scale. Work extensively within le
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