We are looking for a Data Engineer to join a Financial Services team in Plano, Texas on a contract basis with the potential for a permanent role. This role is focused on designing and delivering reliable data pipelines in a cloud-first environment, with Snowflake serving as a central platform for analytics and data consumption. The position offers a balanced mix of new development and targeted optimization, with an emphasis on improving data quality, operational visibility, and scalable processing capabilities.<br><br>Responsibilities:<br>• Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform.<br>• Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability.<br>• Support streaming data integration using Apache Kafka to enable timely and scalable data movement.<br>• Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency.<br>• Enhance data quality practices through validation, testing, and proactive issue identification.<br>• Modernize data architecture by reducing dependency on legacy processes and addressing technical debt.<br>• Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods.<br>• Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities.<br>• Use AI-assisted development tools to accelerate coding, testing, and documentation where appropriate.

• Hands-on experience building data pipelines with Snowflake in a cloud-based environment.<br>• Working knowledge of Apache Kafka for event-driven or streaming data ingestion.<br>• Experience with Azure Databricks and familiarity with modern data engineering workflows.<br>• Ability to troubleshoot pipeline issues and improve performance, stability, and maintainability.<br>• Understanding of data quality, observability, and testing practices within production data platforms.<br>• Familiarity with CI/CD concepts and automated deployment approaches for data engineering.<br>• Experience using AI-assisted engineering tools such as Claude or similar technologies to support development work.

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