Mainz Brady Group
Senior Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python Developer with 5+ years of strong Python engineering experience, focusing on data-heavy applications in financial services. Contract length is unspecified, with a competitive pay rate. Key skills include pandas, SQL Server, and data integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Pandas #Snowflake #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Python #Scripting #SQL Server #Scala #Datasets #Data Engineering #Libraries #AI (Artificial Intelligence) #Data Pipeline #Deployment
Role description
About the Role
This is not a traditional backend or data engineering role—it’s a data-focused Python engineer position centered on building reusable tools, frameworks, and data pipelines for business users in a fast-paced, highly collaborative environment. You’ll work closely with front office stakeholders while also contributing to the firm’s growing AI and LLM initiatives, helping shape governance and production-ready integrations.
Responsibilities
• Strong Python engineering experience (5+ years) - True production-level development—deployments, environment management, and scalable code structure (not scripting or notebooks)
• Data-heavy Python expertise - Hands-on with pandas, large/complex datasets, data validation, and performance optimization
• Experience integrating across data ecosystems - Snowflake, SQL Server, APIs—ability to pull, transform, and unify data across multiple sources
• Experience building reusable Python frameworks/packages - Internal libraries, shared codebases, dependency management, and standardized environments (major differentiator)
• Comfortable working directly with non-technical users and translating needs into technical solutions.
• Front office / business-facing experience
• Financial services background required
Qualifications
• Strong Python engineering experience (5+ years)
• Data-heavy Python expertise
• Experience integrating across data ecosystems
• Experience building reusable Python frameworks/packages
• Comfortable working directly with non-technical users
• Front office / business-facing experience
• Financial services background required
About the Role
This is not a traditional backend or data engineering role—it’s a data-focused Python engineer position centered on building reusable tools, frameworks, and data pipelines for business users in a fast-paced, highly collaborative environment. You’ll work closely with front office stakeholders while also contributing to the firm’s growing AI and LLM initiatives, helping shape governance and production-ready integrations.
Responsibilities
• Strong Python engineering experience (5+ years) - True production-level development—deployments, environment management, and scalable code structure (not scripting or notebooks)
• Data-heavy Python expertise - Hands-on with pandas, large/complex datasets, data validation, and performance optimization
• Experience integrating across data ecosystems - Snowflake, SQL Server, APIs—ability to pull, transform, and unify data across multiple sources
• Experience building reusable Python frameworks/packages - Internal libraries, shared codebases, dependency management, and standardized environments (major differentiator)
• Comfortable working directly with non-technical users and translating needs into technical solutions.
• Front office / business-facing experience
• Financial services background required
Qualifications
• Strong Python engineering experience (5+ years)
• Data-heavy Python expertise
• Experience integrating across data ecosystems
• Experience building reusable Python frameworks/packages
• Comfortable working directly with non-technical users
• Front office / business-facing experience
• Financial services background required
