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Data Engineer

United States, Greer · Job Posted May 27, 2026
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Job Description

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  • Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components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
  • 401(k) plan

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