Snowflake Data Engineer

Our client is a rapidly growing enterprise software company undergoing a major cloud modernization initiative focused on building scalable, high-performance data platforms that support mission-critical business applications. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.

Help engineer the cloud data platform powering one of the world's leading commerce and payments ecosystems.

This Jobot Job is hosted by: Alex Dickinson
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $120,000 - $155,000 per year

A bit about us:

Our client is a rapidly growing enterprise software company undergoing a major cloud modernization initiative focused on building scalable, high-performance data platforms that support mission-critical business applications. Their engineering organization is investing heavily in cloud architecture, automation, data engineering, artificial intelligence, and platform scalability to support the next generation of enterprise technology.

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

Job Details

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

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

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