Only local candidates, need proof of residency and likedin profiles
Position Description
Position can be located in Chicago, IL, or Tempe, AZ
Education Requirements:
• Bachelor’s degree in Computer Science, Information Systems, or related technical field
Required Qualifications:
• Minimum 4+ years of experience in data engineering or related roles
• Proven track record of delivering production-ready data solutions at scale
• Experience with version control systems (Git) and collaborative development practices
• 3+ years of hands-on experience with Snowflake data platform including advanced SQL, stored procedures, and performance optimization
• Strong experience with data ingestion patterns including bulk loading, micro-batching, and streaming data processing
• Proficiency with AWS services such as S3, Lambda, and CloudWatch Experience with Azure data services including Data Factory, Event Hubs, Blob Storage, and Azure Functions
•Solid Python programming skills for data processing, API integrations, and automation scripts
• Experience with data modeling concepts and dimensional modeling techniques
• Understanding of data security, governance, and compliance best practices
Preferred Qualifications:
• Experience with Infrastructure as Code tools (Terraform, CloudFormation)
• Knowledge of containerization technologies (Docker, Kubernetes)
• Familiarity with data visualization tools and business intelligence platform
• Experience with data quality frameworks and monitoring tools
• Snowflake certifications (SnowPro Core or Advanced certifications)
Snowflake Developer Overview:
We are seeking an experienced Snowflake Developer to join our data engineering team. The ideal candidate will have strong expertise in Snowflake data platform capabilities, with proven experience in designing and implementing robust data ingestion solutions across both file-based and streaming architectures on AWS and Azure cloud platforms.
Responsibilities:
•Design, develop, and maintain scalable data pipelines using Snowflake as the core datawarehouse platform
• Build and optimize data ingestion processes for both batch file-based loads and real-time streaming data from various sources
• Implement data transformation logic using Snowflake SQL, stored procedures, and Python integration Collaborate with data architects and analysts to understand business requirements and translate them into technical solutions
• Monitor and troubleshoot data pipeline performance, ensuring high availability and data quality
• Develop and maintain documentation for data processes, data models, and system archi
tecture
• Work closely with DevOps teams to implement CI/CD practices for data pipeline deployments
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