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.

Applicants must be authorized to work in the United States for any employer. Neither the staffing agency nor the client will provide employment-visa sponsorship or support a change-of-employer petition for this position, now or in the future.

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