Data Engineer

We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal candidate is highly self-motivated, resourceful, and capable of building scalable data pipelines, frameworks, and full stack data applications leveraging Snowflake, Python, SQL, and modern DevOps practices.

• Develop and maintain scalable ELT pipelines and data workflows
• Design and implement data models and warehouse structures
• Build full stack data applications and backend services
• Develop Snowflake-based data solutions within 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 ensuring data reliability
• Experience with automated testing and framework development

• 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
• Highly self-motivated with strong ownership
• Extreme personal initiative
• Ability to work independently and in teams
• Highly resourceful problem solver
• Strong communication and analytical skills
• Ability to manage priorities in fast-paced environments