Lead Data and Analytics Engineer

Job Description

Job Description

Work Now Staffing is looking to hire an Lead Data and Analytics Engineer for our Orlando, FL client.

Pay: $70.00 - $90.00 per hour 

Job Details:

• Lead data and analytics engineering initiatives supporting Capital Markets, Asset Management, Operations, HR, Construction, and Development

• Design, build, and maintain data infrastructure using Microsoft Fabric, including lakehouses, warehouses, pipelines, notebooks, and semantic models

• Manage the full data engineering lifecycle, including extraction, integration architecture, loading, orchestration, and production support

• Support migration from paid data movement services to in-house processes

• Assist with retiring higher-cost database systems and eliminating redundant data copies

• Develop integrations with property management systems, expense platforms, and HRIS systems

• Build and maintain governed semantic models to support reporting, analytics, and AI-powered natural language querying

• Ensure data quality, consistency, documentation, and governance across departments

• Support SharePoint redesign as a governed document and records repository with appropriate metadata, structure, and permissions

• Align data architecture and SharePoint initiatives with the company's long-term Alinos platform strategy

• Establish reusable data models and standardized engineering practices

• Maintain Git repositories and deployment pipelines

• Provide technical guidance and mentorship to junior engineers and analysts

• Ensure completed projects include documentation and an assigned business owner

Requirements:

• 7+ years of experience in data and analytics engineering

• 2+ years of hands-on Microsoft Fabric experience, including lakehouse, warehouse, pipelines, notebooks, and semantic models

• Proven experience independently managing the full data engineering lifecycle

• Experience building, administering, and maintaining a data warehouse or lakehouse

• Advanced SQL skills

• Strong DAX and semantic model design experience

• Experience with Git and deployment pipelines

• Experience mentoring or coaching junior engineers or analysts

• Strong understanding of data integration, orchestration, governance, and production support

Preferred Qualifications:

• Experience preparing semantic models for AI or natural language querying

• Python experience

• Dataverse experience

• PowerShell or Microsoft Graph automation experience for SharePoint

• Previous formal team leadership or direct-report management experience