

Insight Global
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with 5+ years of experience, focusing on Teradata and advanced SQL, for a financial client. Contract length is unspecified, with a pay rate of "unknown." The position requires onsite work in Charlotte three days a week.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 7, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Version Control #Data Governance #AWS (Amazon Web Services) #Visualization #GIT #SQL (Structured Query Language) #Data Extraction #Security #BI (Business Intelligence) #Code Reviews #Data Pipeline #Database Performance #Cloud #Tableau #PostgreSQL #Teradata #SQL Queries #Compliance #Data Integrity #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Oracle #Data Processing #Databases #Azure #Data Engineering #Scala #Python #Datasets #Microsoft Power BI
Role description
Required Qualifications:
• 5+ years of professional experience in Python development.
• Strong hands-on experience with Teradata and advanced SQL.
• Proven ability to work with large datasets and optimize query performance.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
Preferred Skills:
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with other databases (e.g., Oracle, PostgreSQL).
• Understanding of data governance and compliance standards.
• Experience in financial services or other regulated industries is a plus.
Job Description:
We are seeking a highly skilled Python Developer with deep expertise in SQL to support data-driven initiatives for a major financial client within the Global Financial Crimes line of business supporting applications within Anti-Money Laundering. This role involves designing, developing, and optimizing data pipelines and analytics solutions in a fast-paced, enterprise-level environment. The ideal candidate will be comfortable working onsite in Charlotte three days per week and collaborating with cross-functional teams to deliver high-impact solutions.
Key Responsibilities:
• Develop and maintain robust Python applications for data processing and analytics.
• Write complex SQL queries and optimize performance within Teradata environments.
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver scalable solutions.
• Perform data extraction, transformation, and loading (ETL) from various sources.
• Ensure data integrity, quality, and security across all processes.
• Troubleshoot and resolve issues related to data pipelines and database performance.
• Participate in code reviews and contribute to best practices in software development.
Required Qualifications:
• 5+ years of professional experience in Python development.
• Strong hands-on experience with Teradata and advanced SQL.
• Proven ability to work with large datasets and optimize query performance.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
Preferred Skills:
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with other databases (e.g., Oracle, PostgreSQL).
• Understanding of data governance and compliance standards.
• Experience in financial services or other regulated industries is a plus.
Job Description:
We are seeking a highly skilled Python Developer with deep expertise in SQL to support data-driven initiatives for a major financial client within the Global Financial Crimes line of business supporting applications within Anti-Money Laundering. This role involves designing, developing, and optimizing data pipelines and analytics solutions in a fast-paced, enterprise-level environment. The ideal candidate will be comfortable working onsite in Charlotte three days per week and collaborating with cross-functional teams to deliver high-impact solutions.
Key Responsibilities:
• Develop and maintain robust Python applications for data processing and analytics.
• Write complex SQL queries and optimize performance within Teradata environments.
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver scalable solutions.
• Perform data extraction, transformation, and loading (ETL) from various sources.
• Ensure data integrity, quality, and security across all processes.
• Troubleshoot and resolve issues related to data pipelines and database performance.
• Participate in code reviews and contribute to best practices in software development.