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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.
Job Responsibility
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Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components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
Requirements
Hands-on experience building and maintaining data pipelines using Snowflake
Practical knowledge of Apache Kafka for streaming or event-based data ingestion
Experience working in cloud-based data environments with a focus on scalable architecture
Familiarity with Azure Databricks and its role within broader data engineering ecosystems
Understanding of data quality, monitoring, and observability practices in production environments
Ability to troubleshoot pipeline failures and resolve performance or reliability issues efficiently
Experience following engineering best practices for version control, testing, and deployment
Exposure to AI-assisted development tools such as Claude or similar coding support platforms
What we offer
Medical, vision, dental, and life and disability insurance