SMX Services & Consulting, Inc.
Python Developer Senior
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python Developer, with a contract length of over 6 months, offering a competitive pay rate. Key skills include 7+ years in Python development, strong SQL expertise, and experience with Snowflake. Preferred experience in Freddie Mac or securitization domains.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#NumPy #Libraries #Complex Queries #Data Processing #Data Engineering #Migration #Pandas #Snowflake #Data Extraction #Datasets #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Analysis #Python #SQL Server #Data Migration
Role description
Scope:
• Support upstream modernization efforts focused on securitization, sourcing, and servicing platforms
• Work on downstream applications (6–7 systems) that consume securitization data
• Modify applications to source data from new systems (Snowflake)
• Perform heavy backend development with minimal frontend involvement
• Handle large-scale data processing, including:
• Complex SQL query transformation
• Data extraction and integration across multiple sources
• Work with SMEs for business context but independently build and modify complex queries
• Contribute to a multi-year modernization initiative (2026+)
Must Have Qualifications :
• 7+ years of hands-on development Python development
• Strong SQL expertise (critical):
• Ability to write and understand complex queries (DB2 / SQL Server)
• Comfortable working with large datasets and joins across multiple tables
• Experience with:
• Python – NumPy or Pandas
• Snowflake (data extraction & new data source integration)
• Solid data analysis experience
• Ability to work with high-volume data environments
• Must be an experienced engineer (not entry-level)
Preferred:
• Freddie Mac / securitization domain experience (strong differentiator, not mandatory)
• Experience with data engineering or ETL concepts (tools not required)
• Familiarity with Python data libraries (e.g., Pandas, NumPy) (nice-to-have, not critical)
• Background in data-focused roles with Python
Exposure to multi-system data migration projects
Scope:
• Support upstream modernization efforts focused on securitization, sourcing, and servicing platforms
• Work on downstream applications (6–7 systems) that consume securitization data
• Modify applications to source data from new systems (Snowflake)
• Perform heavy backend development with minimal frontend involvement
• Handle large-scale data processing, including:
• Complex SQL query transformation
• Data extraction and integration across multiple sources
• Work with SMEs for business context but independently build and modify complex queries
• Contribute to a multi-year modernization initiative (2026+)
Must Have Qualifications :
• 7+ years of hands-on development Python development
• Strong SQL expertise (critical):
• Ability to write and understand complex queries (DB2 / SQL Server)
• Comfortable working with large datasets and joins across multiple tables
• Experience with:
• Python – NumPy or Pandas
• Snowflake (data extraction & new data source integration)
• Solid data analysis experience
• Ability to work with high-volume data environments
• Must be an experienced engineer (not entry-level)
Preferred:
• Freddie Mac / securitization domain experience (strong differentiator, not mandatory)
• Experience with data engineering or ETL concepts (tools not required)
• Familiarity with Python data libraries (e.g., Pandas, NumPy) (nice-to-have, not critical)
• Background in data-focused roles with Python
Exposure to multi-system data migration projects
