Snowflake Developer
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
9 days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Datawarehouse (IT) Snowflake Developer
Openings: 3
Contract Duration: 5/25/2026 - 12/11/2026 possibility of extensions
Location:
Chicago Illinois
Tempe Arizona
Must work onsite hybrid starting week 1 (2 weeks max from the time of offer acceptance)
Zero exceptions will be made as this is corporate policy- no delayed remote start no remote work
Work Model: Hybrid onsite 3 days per week
Anchor days: 3 flex days
Hours: 8:00am 5:00pm
Interview Process: 2-3 rounds
Job Description
Position 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.
Required Qualifications
Technical Skills:
> 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:
- Snowflake certifications (SnowPro Core or Advanced certifications).
- Experience with Infrastructure as Code tools (Terraform CloudFormation).
- Knowledge of containerization technologies (Docker Kubernetes).
- Familiarity with data visualization tools and business intelligence platforms.
- Experience with data quality frameworks and monitoring tools.
- Snowflake certifications (SnowPro Core or Advanced certifications).
- Experience with Infrastructure as Code tools (Terraform CloudFormation).
- Knowledge of containerization technologies (Docker Kubernetes).
- Familiarity with data visualization tools and business intelligence platforms.
- Experience with data quality frameworks and monitoring tools.
Professional Experience:
Bachelors degree in Computer Science Information Systems or related technical field.
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.
Bachelors degree in Computer Science Information Systems or related technical field.
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.
Tasks & Responsibilities:
- Design develop and maintain scalable data pipelines using Snowflake as the core data warehouse 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 architecture.
- Work closely with DevOps teams to implement CI/CD practices for data pipeline deployments.
- Design develop and maintain scalable data pipelines using Snowflake as the core data warehouse 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 architecture.
- Work closely with DevOps teams to implement CI/CD practices for data pipeline deployments.
