Power BI Developer

JOB DESCRIPTION:

Required Qualifications

The Department is seeking a full-time, on-site Power BI Developer

NOTE: Any successful Candidate with access to the Department's network is required to complete the Department's Security Awareness Training within 30 calendar days of hire.

· A bachelor’s degree from an accredited college or university in Computer Science, Information Systems, or other related field is required. Alternatively, equivalent work experience can be substituted for the educational requirement on a year-for-year basis, when applicable.

The Department requires the following experience, skills, and knowledge for this position:

• A minimum of five (5) years of experience in business intelligence or analytics, including three (3) years building Power BI solutions at an enterprise scale;
• Expert DAX and strong Power Query and M skills syntax, backed by deep tabular modeling experience and Structured Query Language (SQL) proficiency across complex datasets;
• Proven experience implementing RLS, OLS, workspace governance, and secure sharing protocols in highly regulated environments (CJIS and HIPAA);
• Experience with Deployment Pipelines, Azure DevOps, and environment promotion within GCC tenants, alongside a solid familiarity with Premium capacities and licensing considerations; and
• Exceptional collaboration skills to engage data engineers, stewards, PMO, InfoSec, and business stakeholders effectively across OIT and program teams.

NOTE: In addition to the above list, the selected Candidate must successfully complete a Level II Background Check.

Preferred Qualifications

The Department prefers the Candidate to have the following experience, skills, and/or knowledge for this position:

• Expertise in BI technologies (e.g., Microsoft Certified: Power BI Data Analyst Associate [PL-300]), Fabric Analytics Engineer Associate [DP-600], Azure Data Engineer [DP-203], and Azure Fundamentals [AZ-900];
• Hands-on experience with Azure Synapse Analytics workloads, including Power BI integrations, Data Warehousing, Lakehouse architectures, and Synapse integration pathways;
• Practical familiarity with Microsoft Purview for automated enterprise cataloging, classification, and lineage tracking; and
• Exposure to performance engineering at scale, including composite models, aggregations, Incremental Refresh (IR) policies, and formal data governance processes.