Data Analyst - SAS ETL
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - Stress Testing, hybrid (4 days onsite), starting July 14, 2025, for 18 months. Requires 5–7 years in data engineering, advanced degree, SAS, SQL, Python expertise, and financial services experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
696
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🗓️ - Date discovered
June 25, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Wilmington, DE
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🧠 - Skills detailed
#Statistics #"ETL (Extract #Transform #Load)" #Data Governance #Azure #Unix #Python #Linux #SQL (Structured Query Language) #SAS #Documentation #R #Data Modeling #SPSS (Statistical Package for the Social Sciences) #Visualization #Data Engineering #Data Analysis #VBA (Visual Basic for Applications)
Role description
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Must be on W2 - No third party recruiters please
Position Title: Data Engineer - Stress Testing
Location: Hybrid – 4 days onsite (Mon–Thurs), 1 day remote
Start Date: July 14, 2025
Duration: 18 months
Overview:
The Data Engineer will support loan data modeling initiatives within the US Treasury & Balance Sheet Management group. This role involves data acquisition, ETL development, and analytics to support PPNR stress testing models. Strong collaboration with IT, Treasury, Finance, and Data Governance is essential.
Key Qualifications:
• 5–7 years of experience in data engineering or analytics
• Advanced degree in a quantitative field (e.g. Statistics, CS, Finance)
• Expertise in SAS, SQL, Python; Excel/VBA; Unix/Linux
• Familiarity with stress testing (CCAR, DFAST), model governance
• Financial services experience, especially commercial/retail lending
Nice to Have:
• Experience with SPSS, R, Azure, and data visualization
• Strong documentation and stakeholder communication skills
