Senior Data Engineer - Remote

Kforce's client is seeking a Remote Data Engineer to design, build, test, and support enterprise data ingestion pipelines. This is a senior-level opportunity for someone who can work independently, operate comfortably with some ambiguity, and take ownership of data engineering work from source analysis through production support. The ideal candidate will have strong experience with data ingestion, enterprise ETL/data integration, Kafka, AWS, Python, and Snowflake, along with the ability to collaborate effectively with both technical and non-technical stakeholders. Responsibilities:

• Design, develop, test, and maintain data ingestion pipelines from a variety of source systems
• Analyze source systems, schemas, and DDL to develop accurate and scalable source-to-target mappings
• Build ingestion solutions for technologies including Kafka, relational databases, mainframe systems, and flat files
• Implement data pipelines that replicate and integrate data into AWS and Snowflake environments
• Perform QA/QC throughout the development lifecycle, including source-to-target data validation and testing
• Develop and maintain data integration processes using enterprise ETL and replication tools
• Work with business users, technical teams, and leadership to gather requirements and translate them into effective data solutions
• Follow established Git, CI/CD, and collaborative development practices
• Support data initiatives that contribute to downstream AI, analytics, and strategic data projects
• Troubleshoot and support data pipelines while ensuring data quality, reliability, and integrity
• Strong software development and data engineering fundamentals
• Experience designing and developing data ingestion pipelines
• Strong understanding of data integration and enterprise ETL tools
• Kafka experience is required
• Hands-on experience with AWS, particularly AWS Lambda
• Strong Python development experience, including Python frameworks used for data engineering
• Experience with Snowflake, including stored procedures and user-defined functions
• Experience with Qlik Replicate or a comparable data replication/integration platform
• Experience with Git and CI/CD pipelines
• Strong understanding of data modeling, schemas, DDL, and source-to-target mappings
• Ability to work independently with minimal supervision and navigate ambiguous requirements
• Strong communication skills and the ability to work effectively with technical teams, business users, and leadership

Preferred Qualifications:

• Additional experience with AWS services such as S3
• Experience working with data from mainframe systems and flat files
• Experience supporting data engineering initiatives related to AI and advanced analytics
• Experience in large, complex enterprise environments

Technical Environment:

• AWS: Lambda, S3
• Data Platform: Snowflake
• Data Integration: Qlik Replicate or comparable enterprise ETL/replication tools
• Development: Python, Git, CI/CD
• Data Sources: Kafka, relational databases, mainframe flat files

What We're Looking For: The ideal candidate is a hands-on senior data engineer who understands how to build and test ingestion pipelines end to end. Qlik Replicate is required, although strong experience with a comparable ETL or data replication tool may be considered, as the manager believes transferable experience can translate quickly to the Qlik platform.