Data Engineer

We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract-to-permanent basis. This role focuses on building and enhancing modern data pipelines within a cloud-centered environment, with Snowflake serving as the primary data platform. The ideal candidate will help deliver production-ready solutions, strengthen data reliability, and apply disciplined engineering practices to support scalable, near real-time data processing.

Responsibilities:

• Design, build, and deliver end-to-end data pipelines in Snowflake that support business reporting and data consumption needs.
• Create new ingestion and transformation workflows while troubleshooting pipeline issues to improve stability and performance.
• Contribute to a delivery model that balances new development with targeted optimization of existing data assets and workflows.
• Implement streaming and event-driven ingestion patterns using Kafka to support timely and scalable data movement.
• Improve observability across the data ecosystem by strengthening monitoring, alerting, and data quality controls.
• Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components.
• Apply sound software engineering standards, including maintainable code, documentation, and repeatable development practices.
• Support the advancement of testing and CI/CD processes by helping establish more consistent engineering workflows.
• Leverage AI-assisted development tools to accelerate coding, validation, and technical documentation where appropriate.