Python Developer

Position: Python Developer Location: Charlotte, NC Pay: 65.07/hr Work Environment: • Hybrid schedule: 3 days onsite in Charlotte, NC; 2 days remote. Job Summary: We are seeking a highly skilled Python Developer with deep expertise in Teradata and 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. • Experience in financial services or other regulated industries is a plus. • 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.