Analytics Engineer

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.
• Coordinate with contractors and internal teams on data architecture, modeling standards, and delivery timelines.
• Support adoption of self-service analytics by enabling business users and ensuring data products are intuitive, well-documented, and aligned to user needs.
• Other duties as required.

Requirements

• Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems, a related field, or equivalent experience.
• Minimum 3 years of experience in analytics engineering, data modeling, or business intelligence development.
• Advanced proficiency in SQL, DAX, and Power BI, including 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 systems (example: Git), and data orchestration tools (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