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# Snowflake Data Engineer

- **Company:** Jobot
- **Location:** Philadelphia, PA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Engineering, Cluster Analysis, Information Systems, Data Architecture, Information Engineering, Extract Transform Load (ETL), Database Queries, Python (Programming Language), Performance Tuning, Role-Based Access Control, Software Tools, Cloud Services, Software Engineering, Data Streaming, Scripting, Cloud Platform System, Sql Optimization, Snowflake, Event Driven Architecture, Information Technology, Apache Kafka, Cloud Migration, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/d0d87a8c-5917-40a4-8948-89f9044b00c2

## About the Role

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

## Description

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


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