Job Description
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.
Responsibilities:
• Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform.
• Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability.
• Support streaming data integration using Apache Kafka to enable timely and scalable data movement.
• Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency.
• Enhance data quality practices through validation, testing, and proactive issue identification.
• Modernize data architecture by reducing dependency on legacy processes and addressing technical debt.
• Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods.
• Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities.
• 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.
• Working knowledge of Apache Kafka for event-driven or streaming data ingestion.
• Experience with Azure Databricks and familiarity with modern data engineering workflows.
• Ability to troubleshoot pipeline issues and improve performance, stability, and maintainability.
• Understanding of data quality, observability, and testing practices within production data platforms.
• Familiarity with CI/CD concepts and automated deployment approaches for data engineering.
• Experience using AI-assisted engineering tools such as Claude or similar technologies to support development work.
