Data Engineer

We are seeking a highly skilled Full Stack Data Engineer to design, develop, and support modern data solutions within a cloud-based data stack. The ideal candidate is self?motivated, resourceful, and experienced in building scalable data pipelines, frameworks, and full?stack data applications using Snowflake, Python, SQL, and modern DevOps practices., * Develop and maintain scalable ELT pipelines and data workflows

• Design and implement data models and data warehouse structures
• Build full?stack data applications and backend services
• Develop Snowflake-based data solutions in cloud environments
• Write high?quality Python and SQL code
• Implement automated testing frameworks
• Develop reusable data engineering frameworks
• Build and maintain CI/CD pipelines using GitHub
• Create reporting and visualization solutions (e.g., Power BI)
• Monitor and resolve production issues to ensure data reliability

• 3-5+ years of Snowflake experience
• 7-10+ years of Python experience
• 7-10+ years of SQL development experience
• Strong full?stack development background
• Experience with automated testing and framework development
• Experience with CI/CD and GitHub workflows
• Experience with data warehouse design and optimization
• Cloud platform experience (Azure preferred)
• Bachelor's degree or equivalent experience, * Dagster orchestration
• dbt transformations
• Gurobi optimization solver
• Elementary data validation
• Retool development
• GoAnywhere MFT
• Power BI and DAX
• Azure services (ADF, Synapse, Key Vault)
• Snowflake ML/AI or R
• SQL Server, SSIS, SSRS
• Financial services domain experience
• Agile methodologies

Soft Skills

• Highly self?motivated with strong ownership
• Strong personal initiative
• Ability to work independently and collaboratively
• Resourceful problem solver
• Strong communication and analytical skills
• Ability to manage priorities in a fast?paced environment