Analytics Engineer

SBA Network Services, LLC; Boca Raton (FL); On-site; USD 110,000 - 170,000; Full time

Job summary

SBA Network Services, LLC in Boca Raton, FL is seeking an analytics-focused engineer to design, build, and maintain governed data products. The role emphasizes semantic models, curated datasets, and AI-ready data products for scalable self-service analytics.

The candidate will develop data pipelines across Microsoft Fabric, Power BI, Azure, and Databricks, and collaborate with business stakeholders to ensure usability, accuracy, and compliance.

Qualifications

• Knowledge of semantic models and curated datasets.

Responsibilities

• Design, build, and maintain semantic models and curated datasets for governed data products used in self-service analytics and AI consumption.
• Develop and optimize data pipelines and dataflows for scalable analytics across Microsoft Fabric, Power BI, Azure, and Databricks.
• Prepare clean, structured datasets for AI Agentic workflows.
• Collaborate with citizen developers and business stakeholders to validate requirements and ensure usability, accuracy, and compliance.

Skills

Semantic modeling

Data governance

Self-service analytics

Tools

Microsoft Fabric

Power BI

Azure

Databricks

Job description

Boca Raton, FL onsite role focused on building governed analytics and AI-ready data products.

Responsibilities

• Design, build, and maintain semantic models and curated datasets that turn business logic into reusable, governed data products for self-service analytics and AI consumption.
• Develop and optimize data pipelines and dataflows for scalable, performant analytics across Microsoft Fabric, Power BI, Azure, and Databricks.
• Prepare clean, structured datasets for AI Agentic workflows.
• Partner with citizen developers and business stakeholders to confirm analytical requirements and ensure semantic models meet usability, accuracy, and compliance expectations.
• Implement and manage row-level security (RLS) within semantic models to support authorized data access and organizational policy compliance.
• Create and run testing and validation strategies to verify accuracy, reliability, and consistency of transformations and analytics outputs.
• Use analytics engineering best practices including modular design, version control, and code documentation.
• Document business logic, data transformations, and model structures using technical documentation, data dictionaries, and metadata catalogs, supporting data lineage and feature clarity for generative AI and predictive modeling.
• Design and implement automated workflow and orchestration strategies to streamline model deployment and ensure timely, reliable data availability.