Cloud Engineer -

We are seeking a hands-on Snowflake / Data & Application Engineer to modernize reporting, analytics, and operational workflows within a commercial banking and credit environment. In this role, you will partner directly with business subject-matter experts and enterprise engineering teams to transform manual spreadsheets, legacy reports, and raw data into scalable, governed data products and interactive applications. Leveraging Snowflake as the primary data foundation alongside Streamlit and Python, you will build solutions that combine operational workflows, automated document processing, and advanced analytics., * Design, build, and maintain Snowflake tables, views, transformations, and SQL pipelines supporting analytics and operational business workflows.

• Develop interactive, data-driven internal web applications using Streamlit and Python, incorporating custom data entry, validation, state management, and write-back capabilities.
• Automate manual processes, file ingestion, Excel workflows, and document parsing using Python and pandas.
• Perform comprehensive data validation, source-to-target reconciliation, schema mapping, and root-cause troubleshooting for data discrepancies.
• Build and maintain business intelligence reporting and semantic models using Power BI, SQL, and DAX.
• Help transition rapidly developed prototypes into modular, maintainable, and governed production solutions with clear documentation and logging.
• Collaborate with business and technical stakeholders to integrate data from platforms such as nCino, Salesforce, and loan servicing systems.
• Explore and implement practical Snowflake AI capabilities (such as Snowflake Cortex, semantic models, and natural language query tools) to enhance workflows.

Strong expertise in Snowflake and advanced SQL (complex joins, CTEs, window functions, relational modeling, and query optimization).

Proficiency in Python for data manipulation (pandas), scripting, automation, and modular code development.

Demonstrated hands-on experience building interactive web applications, with a strong preference for Streamlit (state management, forms, data validation, database interaction).

Solid understanding of data architecture, source-to-target mapping, data quality controls, and data reconciliation processes.

Experience developing enterprise dashboards and reports using Power BI or comparable BI platforms, including Power Query and DAX.

Proven ability to operate independently, turn ambiguous business problems into functional solutions, and troubleshoot across database, code, and UI tiers.

PREFERRED QUALIFICATIONS

Domain experience within commercial banking, corporate lending, credit analysis, risk management, or financial services.

Exposure to enterprise platforms such as nCino, Salesforce, or commercial loan servicing and credit underwriting systems.

Experience with unstructured data extraction, OCR, document parsing, or AI-assisted workflow automation.

Familiarity with Snowflake Cortex, Snowpark, semantic data models, or generative AI integration.

Version control experience with Git and development workflow tools (VS Code, REST APIs, JSON).

skills:

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