Goldenwest Credit Union is seeking to migrate enterprise data assets from on-premises systems into Snowflake and manage the Snowflake data warehouse, build and maintain data models, and participate in predictive analytics initiatives
Requirements
- Strong command of SQL, Python, R, SAS, and modern business intelligence tools
- Hands-on experience with data pipeline tools (e.g. MS SQL Server, Snowflake, Matillion, Fivetran, dbt, ADF, Prefect, Airflow, Great Expectations, etc.)
- Familiarity with decisioning and loan management systems, credit bureaus, and other financial data sources
- Expertise in classical and machine learning approaches for predictive modeling and risk scoring
- Experience with data governance, risk management, and advanced analytics
- Technical expertise in modern cloud-based data platforms
- Experience with Snowflake, and other relevant tools (e.g., Matillion, Fivetran, dbt, Azure Data Factory, SSIS, etc.)
Responsibilities
- Design, develop, and execute migration strategies to move structured and unstructured data from on-premises databases into Snowflake
- Build and optimize ETL/ELT pipelines for data extraction, transformation, and loading using SQL, Python, and other relevant tools
- Ensure data integrity, governance, and security throughout migration and integration processes
- Collaborate with business leaders, analysts, and cross-functional teams to align data models and reporting needs with Snowflake architecture
- Convert legacy SAS, SQL, and other data workflows into modern Snowflake-compatible processes
- Develop reconciled financial trending datasets for downstream use in forecasting, pricing, and risk models
- Create high-quality data structures for predictive modeling, machine learning, and BI reporting
Other
- Bachelor’s degree in Data Science, Computer Science, Economics, Finance, or related field (Master’s/MBA preferred)
- Strong communication skills, with the ability to translate technical work into actionable business insights
- On call evenings and weekends for emergency job related issues, as needed
- Guaranteed Base Wage + Bonus, commensurate with experience
- Full-time, 40 hours per week
