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# Snowflake Data Engineer

- **Company:** BC Forward
- **Location:** Ohio, IL, United States (Remote available)
- **Salary:** $176,800.0 - $185,120.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Applications Architecture, Application Layers, Business Logic, ARM Architecture, Spreadsheets, Databases, Data Structures, Database Applications, Document Management Systems, File Systems, Information Extraction, JSON, Python (Programming Language), Performance Tuning, Power BI, Salesforce.Com, Software Engineering, SQL Databases, Unstructured Data, Data Logging, Data Processing, Sql Optimization, Snowflake, Caching, Git, Powerquery, Pandas, Build Management, Data Analytics, NCino, Restful APIs, Streamlit Framework, Code Restructuring
- **Published:** November 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/76410531-snowflake-data-engineer

## About the Role

We are seeking a Snowflake Data Engineer to join our dynamic team. The ideal candidate will have strong experience in Snowflake, SQL, Python, Streamlit, and Power BI and a proven ability to translate ambiguous business problems into maintainable data products, applications, analytics, and automated workflows., * Snowflake and Advanced SQL including tables/views, complex joins, CTEs, window functions, transformations, reconciliation, optimization, and security concepts.

 * Python for data manipulation, application development, pandas, file processing, automation, validation, Excel interaction, and modular code.
 * Streamlit application development with multi-page structure, interactive forms, validation, session/state, database interaction, write-back, and reusable components.
 * Data and analytics fundamentals including keys and relationships, data quality, source-to-target mapping, historical data, business metrics, and troubleshooting inconsistent data.
 * Reporting/BI with Power BI or comparable platforms. Experience with Power Query, DAX, and Excel is beneficial.

Preferred Skills:

 * Banking or financial services experience in areas such as credit underwriting, portfolio management, loan monitoring, financial analysis, lending operations, collateral and covenant monitoring, risk management, or structured finance.
 * Exposure to nCino, Salesforce, commercial loan servicing platforms, underwriting systems, document management systems, or financial market/data providers.
 * Experience with Git, VS Code, Snowpark, REST APIs, JSON, Excel automation, and AI/document-intelligence technologies. Candidates need not have deep expertise in every item.

## Description

* Develop, test, and maintain SQL for applications, reporting, analytics, and workflows.
 * Build Snowflake tables, views, transformations, mappings, and application-supporting data structures.
 * Work with structured, semi-structured, and unstructured data and translate source data into reusable datasets.
 * Perform source-to-target reconciliation, validation, field-level testing, and resolve data discrepancies.
 * Assist with data modeling, relationships, historical data handling, and business definitions.
 * Document lineage, mappings, transformations, dependencies, and application usage.
 * Design and build internal data-driven applications using Streamlit and Snowflake with write-back and workflow capabilities.
 * Implement dashboards, data-entry interfaces, review/approval workflows, exception tools, and administrative utilities.
 * Use Python for data transformation, validation, file processing, Excel automation, document parsing, and business logic.
 * Refactor scripts into reusable components and adopt modular, configuration-driven patterns.
 * Apply application architecture practices including separation of concerns, session/state management, caching, error handling, logging, and role-based access.
 * Optimize queries and troubleshoot performance and concurrency issues across data and application layers.
 * Develop BI and analytics using Power BI, Streamlit, Snowflake, SQL, Python, and Excel/Power Query.
 * Modernize spreadsheet, email, and manual processes into structured applications and workflows with audit-friendly data capture.
 * Analyze and integrate data from nCino, Salesforce, loan servicing, underwriting, financial data providers, and internal repositories.
 * Support unstructured-to-structured extraction using Python, OCR/document intelligence, and AI-assisted processing.
 * Leverage semantic models and practical AI where applicable, including Snowflake Cortex and natural-language analytics.