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# Snowflake Data Engineer - Remote / Telecommute

- **Company:** CYNET SYSTEMS INC.
- **Location:** Raleigh, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,640.0 - $131,040.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, Python (Programming Language), SQL Stored Procedures, SQL Databases, Scripting, Google Cloud, Snowflake, Pyspark, Data Management, Legacy Systems
- **Published:** October 7, 2026
- **Apply:** https://www.dice.com/job-detail/84b52de4-611b-408e-8349-74043cbe0407

## About the Role

* 8+ years of experience in Snowflake.
 * 5+ years of experience in PySpark.
 * 5+ years of experience in Python.
 * Strong experience with Snowflake Data Platform.
 * Proficiency in SQL and data warehousing concepts.
 * Experience in ETL/ELT development and data migration projects.
 * Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Ability to analyze and resolve data-related issues.

Preferred Skills:

 * Experience with Python or other scripting languages.
 * Exposure to migration from legacy data platforms to Snowflake.
 * Snowflake certification is an added advantage.

## Description

Our client is migrating from a legacy data platform to Snowflake and is looking for skilled Snowflake Developers to support selected migration use cases. The role involves designing, developing, and optimizing data solutions on Snowflake while ensuring seamless data migration and integration., * Develop and maintain data pipelines and ETL/ELT processes in Snowflake.

 * Support migration of data, workflows, and reports from legacy platforms to Snowflake.
 * Create and optimize SQL queries, stored procedures, and data models.
 * Collaborate with business and technical teams to understand migration requirements.
 * Perform testing, validation, and troubleshooting to ensure data accuracy and performance.
 * Follow data governance, security, and best practices.