Data Engineer with “Python & Teradata” (W2 Only)

Position – Data Engineer with “Python & Teradata”
Location – Plano, Texas / Charlotte, NC (Hybrid Onsite)
Duration – Long Term

(W2 Only from Plano, Texas / Charlotte, NC)

Job Description
Python Teradata
(Framework / POC / Platform Capability Role)

Primary focus
Build frameworks, conduct POCs, and integrate Python-based automation and analytics with Teradata.

Framework & Tooling Development

• Develop Python-based frameworks for automation, data processing, orchestration, and Teradata interactions (using Teradata SQL, pyodbc, etc.).
• Build reusable modular libraries for logging, error handling, connection pooling, monitoring, and ETL/ELT operations.
• Create CI/CD pipelines for Python applications running on Teradata platforms.
• POC Evaluation & Capability Enablement
• Perform Proof-of-Concept evaluations for new technologies, tools, and frameworks to extend platform capabilities.
• Analyze potential integrations (Python APIs, LLM tools, data processing engines) and validate their performance and security within the bank’s ecosystem.
• Present feasibility reports, architectural considerations, and implementation recommendations.

Development & Testing

• Design, develop, and test Python applications, ETL logic, and automation pipelines connected to Teradata.
• Create unit tests, functional tests, and automated regression suites following enterprise QA standards.
• Production Support & Operational Excellence
• Support production applications running Python–Teradata workflows.
• Troubleshoot complex issues involving data connectivity, query performance, and job failures.
• Optimize code for concurrency, efficiency, exception handling, and platform resiliency.
• Cross-Functional Collaboration
• Work with data engineers, DBAs, system architects, and platform engineering to ensure consistent integration patterns.
• Document new capabilities and train internal teams on framework adoption.