Snowflake Data Engineer

As a Snowflake Engineer, you’ll help design, build, and optimize the cloud data platform that powers large-scale analytics, operational reporting, and business intelligence. This is an opportunity to work alongside highly collaborative engineering teams solving challenging problems involving performance, scalability, automation, and modern cloud architecture.

Why join us?

Help build a modern enterprise data platform supporting billions of business events and transactions Work with cutting-edge cloud technologies including Snowflake, Python, Kafka, Azure, and modern data engineering tools Collaborate with Infrastructure, Platform Engineering, Software Engineering, Analytics, and Product teams on strategic initiatives Influence architecture, automation, scalability, and cloud modernization efforts across the organization Join an engineering-first culture that encourages innovation, continuous learning, and technical ownership

Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience 5+ years of Data Engineering, Database Engineering, or Cloud Platform Engineering experience Strong hands-on experience designing and optimizing enterprise Snowflake environments Advanced SQL skills with experience tuning complex queries against very large datasets Experience building scalable ETL/ELT pipelines and cloud-native data solutions Strong Python development or scripting experience Experience with Snowpark is highly preferred Experience with Kafka or streaming/event-driven architectures preferred Experience working within Azure, AWS, or similar cloud environments Strong understanding of Snowflake performance optimization, warehouse management, clustering strategies, and cost optimization Familiarity with RBAC, governance, security, and enterprise data architecture Experience working within Agile software engineering environments