> Markdown version of [/jobs/ext/3784719-lead-business-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/3784719-lead-business-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Business Intelligence Engineer - **Company:** Pyramid Consulting Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $124,800.0 - $135,200.0 - **Contract:** Contract - **Skills:** Code Review, Information Engineering, Dimensional Modeling, Healthcare Effectiveness Data and Information Set, Query Optimization, Power BI, SQL Databases, Enterprise Data Management, Star Schema - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/8cef8ce2-2854-45dd-8560-c49d25d77521 ## About the Role * 5+ years of experience in Power BI development and architecture, including advanced Power BI DAX and mixed semantic models. * Strong skills in data modeling and SQL, with experience in dimensional modeling and star schema design. * Proven experience in advanced SQL development and query optimization, particularly with large-scale analytical data warehouses. * Experience in healthcare analytics, particularly with HEDIS/Quality reporting, Pharmacy (Rx), and Medical Claims data. * Familiarity with provider, member, and measure-based reporting in a healthcare payer environment is preferred. * Experience with modern analytics technologies and enterprise data platforms. ## Description Immediate need for a talented Lead Business Intelligence Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in US (Remote). Please review the job description below and contact me ASAP if you are interested., * Design, develop, and maintain Power BI dashboards, reports, and semantic models supporting Healthcare Quality, HEDIS, Pharmacy, and Medical Claims initiatives. * Extend existing analytic products and partner with business stakeholders to gather requirements and translate them into scalable reporting solutions. * Develop and optimize DAX, SQL, and data models. * Collaborate with data engineering teams to leverage enterprise data sources. * Support testing, deployments, issue resolution, and ongoing enhancements. * Provide technical leadership, code reviews, and best practices guidance to team members.