Data Engineer (Remote)

Kforce has a client that is seeking a highly skilled Data Engineer to join a high-profile enterprise data modernization initiative within a large banking environment. This role is remote. Summary: This role will support strategic data migration and ingestion efforts as the organization continues its transition from on-premises platforms to a modern Snowflake-based data lake architecture. This consultant will work within a fast-paced Data Lake Engineering organization focused on delivering scalable, reliable, and high-quality data ingestion pipelines supporting critical banking initiatives. The ideal candidate will have strong hands-on experience with enterprise data integration, Snowflake, large-scale data movement, and troubleshooting complex data issues in regulated environments. This is a contract opportunity supporting a highly visible initiative with direct interaction with engineering leadership and technical leads. Key Responsibilities:

• Design, build, test, and support enterprise data ingestion pipelines
• Develop and optimize large-scale data movement and integration processes
• Work with structured and semi-structured data across modern data platforms
• Support migration efforts from on-premises environments into Snowflake-based data lake solutions
• Perform source-to-target data validation and data quality testing
• Troubleshoot and resolve complex data integration and ingestion issues
• Collaborate with team leads, engineers, and business stakeholders to clarify requirements and proactively identify risks or gaps
• Clearly communicate data discrepancies, pipeline failures, and integration concerns
• Participate in highly time-sensitive project deliverables and production support activities
• Contribute to engineering best practices around data quality, ingestion reliability, and platform scalability
• 5+ years of experience in Data Engineering, Data Integration, or Big Data engineering environments

• Snowflake
• Kafka

* SQL

• Big data platforms and ingestion frameworks
• Cloudera
• Qlik Replicate and/or Precisely Connect
• Experience building and supporting enterprise ingestion pipelines
• Strong understanding of source-to-target validation and data quality testing methodologies
• Ability to troubleshoot complex data and integration issues independently
• Strong communication skills with the ability to challenge assumptions, ask clarifying questions, and work through ambiguous requirements
• Experience working in Agile or fast-moving enterprise delivery environments

• Banking, financial services, or other regulated industry experience
• Experience supporting enterprise data lake modernization initiatives
• Familiarity with data migration projects involving legacy/on-prem environments
• Experience working within large enterprise engineering organizations