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Senior Data Engineer - Remote
Kforce • Birmingham, AL
No Relocation
Posted: August 27, 2026
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
Requirements
- 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
- 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
- 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