Data Engineer: Build Scalable Data Pipelines & Warehouses

Kforce Inc; Jacksonville (FL); On-site; USD 85,000 - 120,000; Full time

Job summary

Kforce Inc. is seeking a Data Engineer to design, develop, and maintain modern data solutions for enterprise reporting and analytics. The role focuses on building pipelines, data integration, and ensuring data quality across the tech stack.

The ideal candidate will have strong SQL, data modeling, and experience with cloud-based data platforms, along with solid collaboration skills to work with analysts and technical teams. Excellence in data governance and documentation is expected.

Qualifications

• Strong SQL and relational database concepts.
• Experience developing and supporting ETL/ELT data integration solutions.
• Solid understanding of data modeling, dimensional modeling, and warehousing.
• Experience with cloud-based data platforms and modern data architectures.
• Knowledge of data quality, validation, and reconciliation techniques.
• Excellent communication and ability to collaborate across teams.

Responsibilities

• Design, develop, and maintain data pipelines to support reporting and analytics.
• Integrate data from multiple sources ensuring data accuracy and integrity.
• Collaborate with business stakeholders and analysts to translate requirements.
• Maintain governance, security, and documentation standards for data solutions.

Skills

SQL

Relational databases

ETL/ELT processes

Data modeling

Cloud platforms

Data integration

Data quality

Communication

Cross-team collaboration

Prioritization

Tools

Cloud platforms (AWS/GCP/Azure)

Job description

Kforce Inc. is seeking a Data Engineer to design, develop, and maintain modern data solutions for enterprise reporting and analytics. The role focuses on building pipelines, data integration, and ensuring data quality across the tech stack.

The ideal candidate will have strong SQL, data modeling, and experience with cloud-based data platforms, along with solid collaboration skills to work with analysts and technical teams. Excellence in data governance and documentation is expected.