Snowflake / Data & Application Engineer

Our client, one of the largest commercial bank in the United States, is looking to hire a Snowflake / Data & Application Engineer in U.S (REMOTE)

Role

Snowflake / Data & Application Engineer

Location

Remote

Duration

12 months contract

Pay Rate

$70/hour - $80/hour on w2 DOE

Overview

• We are seeking a hands-on Snowflake / Data & Application Engineer to support the development and modernization of data, reporting, analytics, and workflow capabilities within a commercial banking and credit environment.
• This role will work directly with business subject-matter experts and enterprise technology partners to translate business requirements, existing datasets, spreadsheets, reports, documents, and manual processes into working applications, analytics, automation, and reusable data products.
• The target environment uses Snowflake as a governed data foundation, with solutions potentially incorporating Streamlit, Python, SQL, Power BI, AI capabilities, and other enterprise technologies.
• Existing internal architecture also contemplates curated datasets, governed data products, semantic models, analytics, applications, and AI as different ways of consuming the same underlying data.
• This is primarily a hands-on builder role, rather than a strategy, project-management, or requirements-only position. The ideal individual can take an imperfectly defined business problem, understand the desired outcome, analyze the available data and existing process, and iteratively develop a practical solution.

Key Responsibilities

• Snowflake & Data Development
• Application Development
• Python & Automation
• Application Architecture
• Reporting & Analytics
• Workflow Modernization
• Data Integration
• Unstructured Data Processing
• AI & Advanced Analytics (Preferred)

Required Qualifications

• Snowflake, SQL
• Python
• Streamlit
• Power BI
• Data Modeling & Analytics

Preferred Experience

• Commercial Banking / Financial Services
• Lending, Credit, Risk
• nCino, Salesforce
• Git, REST APIs, Snowpark, Cortex

What Success Looks Like

• Build scalable business solutions
• Create reusable data products
• Troubleshoot across the data pipeline
• Collaborate with business and technology teams

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