Analytics Engineer

The Analytics Engineer role at SBA Network Services, LLC connects data engineering practices with analytics delivery by enriching data sources, creating semantic models and curated datasets, and supporting governed self-service reporting. The position also prepares enterprise data assets for AI and machine learning use, with a focus on data quality, accessibility, and compliance.

Key Responsibilities

• Design, build, and maintain semantic models and curated datasets that convert business logic into governed, reusable data products for self-service analytics and AI consumption.
• Develop and optimize data pipelines and dataflows that enable scalable, high-performing analytics across Microsoft Fabric, Power BI, Azure, and Databricks, preparing structured data suitable for AI Agentic workflows.
• Work with citizen developers and business stakeholders to gather analytical requirements and ensure semantic models and data products support usability, accuracy, and compliance.
• Implement and manage row-level security (RLS) within semantic models to enforce appropriate access and align with organizational policy requirements.
• Create and execute testing and validation approaches to verify the accuracy, reliability, and consistency of data transformations and analytics outputs.
• Apply engineering best practices, including modular design, version control, and code documentation for analytics workflows.
• Document business logic, data transformations, and model structures using technical documentation, data dictionaries, and metadata catalogs to maintain data lineage and support clarity for generative AI and predictive modeling initiatives.
• Design and implement automated data workflows and orchestration strategies to support model deployment, ensure timely data availability, and strengthen scalable analytics operations.
• Coordinate with contractors and internal teams to align on data architecture, modeling standards, and delivery timelines.
• Enable adoption of self-service analytics tools by making data products intuitive, well-documented, and aligned with business user needs.
• Perform other duties as required.

Required Qualifications

• Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems, or a related field, or equivalent experience.
• Minimum of 3 years of experience in analytics engineering, data modeling, or business intelligence development.
• Advanced proficiency in SQL, DAX, and Power BI, including demonstrated experience building and optimizing semantic models and dataflows.
• Hands-on experience with Microsoft Fabric and modern data architecture principles.
• Strong understanding of data governance, row-level security (RLS), and metadata management.
• Familiarity with CI/CD pipelines, version control (for example, Git), and data orchestration tools (for example, Azure Data Factory, dbt, or similar).
• Proven ability to translate complex business logic into scalable, reusable data products.
• Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders.

Technologies

• SQL, DAX, Power BI
• Microsoft Fabric, Azure, Databricks
• Git
• Azure Data Factory, dbt
• CI/CD

Benefits

• 401(k) retirement savings plan with a company match of a percentage of employee contributions and profit sharing, where applicable
• Equity opportunities, including participation in company equity stock plans, where applicable
• Medical, dental, and vision insurance with employer contributions toward coverage
• Paid parental leave and company-paid life insurance and short-term and long-term disability (STD/LTD), where eligible
• Wellness programs and resources, including an employee assistance program and well-being initiatives
• Paid time off and company-paid holidays
• Flexible work arrangements, including an allotment of remote workdays per year, depending on the role
• Education assistance and professional development and certification or licensing support, where eligible
• Performance-based bonus or incentive compensation, which may be available depending on the role

Physical Demands

• Ability to stoop, bend, kneel, or crouch
• Ability to stand, walk, and sit
• Ability to reach with hands and arms
• Visual ability correctable to 20/20
• Sitting up to 90% of the day
• Ability to respond verbally in an understandable, professional manner in person and over the telephone
• Manual dexterity to input data into the computer and the calculator and operate the equipment listed above
• Ability to lift up to 15 pounds

Work Environment

• Office/cubicle workspace
• Moderate noise level

Role Details

• Location: Boca Raton, FL (onsite)
• Experience: 3+ years
• Education: Bachelor’s or Master’s in Data Engineering/Computer Science/Information Systems (or equivalent experience)