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Snowflake Developer - Cleveland, OH (Hybrid)

SaksoftCleveland, OH🇺🇸United StatesPosted Oct 15, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Cleveland, OH, United States
Posted
22 hours ago
SQLSnowflakeAzure

Job Description

Position: Snowflake Developer

Location: Cleveland, OH

Duration: Long-term

 

Job description:

Job Summary

We are seeking a Senior Snowflake Developer with at least 6 years of experience to design, develop, and optimize secure, scalable data solutions. The ideal candidate will have hands-on expertise in Snowflake, Snowflake data products, COCO, Snowflake AI/ML, Azure Data Factory, Azure Data Lake Storage Gen2, SQL, and DevOps practices, with the ability to lead development independently.

Key Responsibilities

  • Snowflake solution development: Design, develop, and implement secure, scalable Snowflake data solutions with a focus on performance, reliability, and efficient resource utilization.
  • Data pipelines and integration: Build, configure, and manage Azure Data Factory pipelines for data ingestion, transformation, and loading across Azure SQL Database, Azure Data Lake Storage Gen2, and Snowflake.
  • Data migration and environment management: Support data transformation and migration initiatives, including production-to-lower-environment Snowflake refreshes, while maintaining data accuracy and operational efficiency.
  • SQL and performance optimization: Develop and tune complex SQL queries, monitor platform performance, and optimize workloads and resource consumption.
  • Data quality and monitoring: Implement data-quality checks, operational monitoring, and appropriate metrics to identify issues and maintain reliable data processing.
  • DevOps and automation: Automate data pipelines and code deployments using CI/CD tools, troubleshoot issues within the data-operations environment, and support dependable releases.
  • Collaboration and independent delivery: Work with data architects, analysts, and other team members to translate requirements into effective solutions while independently driving development activities.
  • Troubleshooting: Diagnose and resolve issues across Snowflake solutions, data pipelines, and integration processes.
  • Documentation: Maintain clear documentation for architectures, data designs, pipelines, processes, and operational procedures to support maintainability and knowledge sharing.

Mandatory Skills

  • Snowflake
  • Snowflake AI/ML
  • Snowflake Data Science

Skills

Mandatory Skills: Snowflake, Snowflake AI/ML, Snowflake Data Science

 

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