Snowflake Data Engineer

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Job details:

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

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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

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