Python Data Engineer

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Your Role We are seeking a skilled Python Data Engineer with strong expertise in Python, Databricks, PySpark, SQL, ETL/ELT pipelines, and REST API development to support the delivery of scalable data solutions within a modern enterprise cloud environment. In this role, you will design, develop, and maintain high-performance data pipelines and Python-based services that enable efficient data ingestion, transformation, integration, and consumption across business-critical platforms. You will work across both data engineering and API development, leveraging Databricks and PySpark for complex data processing while building robust RESTful APIs that facilitate seamless data exchange between applications, systems, and cloud services. The ideal candidate will possess a strong engineering mindset with a focus on scalability, automation, code quality, performance optimization, and operational excellence, ensuring reliable, secure, and production-ready solutions that support enterprise data initiatives. What You Will Do Design, develop, and optimize scalable data pipelines and ETL/ELT solutions using Databricks, PySpark, Python, SQL, Delta Lake, and Medallion Architecture to support enterprise data processing and analytics. Build and maintain Python-based REST APIs and backend services using FastAPI, enabling secure data ingestion, integration, validation, and consumption across enterprise platforms. Develop and deploy cloud-native data engineering solutions on Microsoft Azure, supporting Azure Databricks, Data Lake Storage, CI/CD pipelines, automated testing, and DevOps best practices. Ensure engineering excellence and operational reliability through code quality, monitoring, logging, troubleshooting, performance tuning, data quality controls, and automated testing frameworks. Collaborate with Architects, Platform Engineers, DevOps teams, and business stakeholders to deliver secure, scalable, and high-performing data platform solutions while driving continuous improvement initiatives. Your future at Kyndryl This role opens the door to many career paths, both vertical and horizontal, and there may be opportunity to travel. It’s a great chance for database administrators or other techs to break into the cloud. It’s also a solid path to become enterprise or chief architect or a distinguished engineer! Whatever you see for yourself, you’ll find the opportunity here. Who You Are