Data Engineer

RESPONSIBILITIES

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.

Key Responsibilities

• 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

REQUIREMENTS:

• 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.

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