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# Data Engineer

- **Company:** Kforce Inc.
- **Location:** Denver, CO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Application Integration Architecture, Software as a Service, Software Code Optimization, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Structures, Data Systems, Python (Programming Language), Standard Sql, Systems Integration, Data Logging, Data Ingestion, Azure Data Factory, Apache Spark, Microsoft Fabric, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://www.dice.com/job-detail/b9b8e1ca-58b6-4c2e-8a82-4b0c9302a370

## About the Role

* 3+ years of experience in data engineering, ETL/ELT development, or data integration
 * Hands-on experience with Microsoft Fabric, Data Factory, Lakehouse, and OneLake
 * Strong SQL, data transformation, and pipeline development skills
 * Experience integrating APIs, databases, and cloud-based data sources
 * Understanding of data quality, monitoring, and troubleshooting practices
 * Strong problem-solving and communication skills

Preferred Qualifications:

 * Microsoft Fabric, Azure Data Engineer, or related certifications
 * Experience with Python, Spark, or notebook-based development
 * Familiarity with medallion architecture and enterprise analytics platforms
 * Experience working in Agile project environments

## Description

Kforce has a client in Denver, CO that is seeking a Data Engineer to develop, implement, and support enterprise data ingestion and processing solutions within the Microsoft Fabric platform. This role is responsible for building scalable pipelines, integrating source systems, and maintaining reliable data movement into OneLake, Lakehouse, and related Fabric environments. The Data Engineer will work closely with architects, security teams, and business stakeholders to implement approved ingestion patterns, support source-system onboarding efforts, and ensure data is available, accurate, and optimized for downstream analytics and reporting., * Build and maintain data pipelines using Microsoft Fabric components, including Data Factory, Dataflows Gen2, and notebooks

 * Implement ingestion solutions for APIs, databases, SaaS applications, files, and other enterprise data sources
 * Develop and maintain Lakehouse tables, data structures, and ingestion workflows
 * Support source-system onboarding activities, connectivity validation, and data mapping efforts
 * Monitor pipeline performance and troubleshoot data integration issues
 * Validate data quality, load completeness, and operational reliability
 * Implement logging, monitoring, and error-handling processes
 * Collaborate with architects and stakeholders to translate technical requirements into data solutions
 * Maintain technical documentation, deployment standards, and operational runbooks
 * Support security, governance, and compliance requirements for data ingestion workloads
 * Participate in testing, deployment, and knowledge-transfer activities
 * Contribute to process improvements and platform optimization initiatives