Data Engineer (Remote)

Kforce Inc is seeking a highly skilled Data Engineer to join a high-profile enterprise data modernization initiative within a large banking environment. This role will support strategic data migration and ingestion efforts as the organization transitions to a modern Snowflake-based data lake architecture.

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

Requirements:

• 5+ years of experience in Data Engineering, Data Integration, or Big Data engineering environments
• Strong hands-on experience with Snowflake
• Strong hands-on experience with Kafka
• Strong hands-on experience with SQL
• Strong hands-on experience with Big data platforms and ingestion frameworks
• Strong hands-on experience with Cloudera
• Strong hands-on experience with 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