Data Engineer

We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract basis with the potential for a permanent role. This role focuses on designing and delivering modern data pipelines in a cloud-based environment, with an emphasis on reliability, quality, and scalable data processing. The position offers the opportunity to contribute to both new development and targeted improvements across an evolving data ecosystem centered on Snowflake and event-driven ingestion.

Responsibilities:

• Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs.
• Create new data integration workflows while troubleshooting and resolving issues in existing pipelines.
• Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability.
• Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency.
• Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement.
• Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain.
• Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate.
• Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities.