Data Engineer (Snowflake / Python / Azure)

Data Engineer (Snowflake / Python / Azure)

We are seeking a Data Engineer to join a high-impact team focused on building scalable, modern data solutions. This is an excellent opportunity to work with cutting-edge technologies including Snowflake, Azure, and Python while helping drive data-driven decision-making across the organization.

This will be onboarded through a 6 month or less contract to hire model. Upon conversion, pay range is $120,000 to $140,000 base and potential for additional earnings through a bonus system.

Key Responsibilities

• Develop and maintain ELT pipelines and data workflows
• Design and optimize data models and warehouse structures
• Build Snowflake-based data solutions in a cloud environment (Azure preferred)
• Write clean, efficient Python and SQL code
• Develop data applications and backend services
• Implement automated testing frameworks to ensure data quality
• Build and maintain CI/CD pipelines using GitHub
• Create reporting and visualization solutions (Power BI)
• Monitor and resolve production issues to ensure reliability

Required Qualifications

• 7+ years of experience with Python and SQL development
• 3+ years of hands-on Snowflake experience
• Strong experience with data warehousing and data modeling
• Experience with CI/CD pipelines and GitHub workflows
• Cloud experience (Azure preferred)
• Bachelor’s degree or equivalent experience

Preferred Qualifications

• Experience with dbt and/or Dagster
• Familiarity with Power BI and DAX
• Experience with Azure services (ADF, Synapse, Key Vault)
• Exposure to SQL Server (SSIS/SSRS)
• Financial services industry experience
• Agile environment experience