Senior BI Engineer

Insight Global
Blue Ash, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Blue Ash, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Big Data
Code Review
Data Validation
Information Engineering
IIS
Python
Scrum
Systems Development Life Cycle
Power BI
SQL Databases
Microsoft Power Automate
Azure
Generative AI
Backend
Microsoft Fabric
Data Analytics
Data Management
Tools for Reporting
Front End Software Development
REST
Databricks

Job description

Insight Global is seeking a Senior BI Engineer for a leading healthcare technology organization. This role focuses on building and optimizing enterprise-scale business intelligence solutions using Databricks, SQL, and Power BI. The Senior BI Engineer will work across both backend data engineering and frontend reporting, partnering directly with stakeholders to translate complex business problems into actionable insights. This individual will serve as a technical leader, mentor junior engineers, and contribute to the evolution of modern analytics capabilities, including automation and AI-enabled reporting.

Day-to-Day:

  • Design, develop, and optimize Power BI reports and datasets
  • Build and maintain SQL and Databricks solutions supporting BI use cases
  • Translate business questions into scalable analytics and reporting solutions
  • Optimize report performance using DAX and data modeling best practices
  • Support data validation, accuracy checks, and troubleshooting
  • Collaborate with stakeholders to clarify requirements and recommend solutions
  • Mentor BI Engineer IIs and contribute to technical design discussions
  • Participate in sprint planning, grooming, and code reviews
  • Support automation, governance, and security initiatives within the BI platform
  • Publish and maintain reports following established standards

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Requirements

Must Haves:

  • Strong SQL experience supporting enterprise-scale datasets
  • Advanced Power BI development skills (DAX, data modeling, report optimization)
  • Hands-on Databricks experience (data engineering and analytics workloads)
  • Ability to operate as a full-stack BI engineer (backend data + frontend reporting)
  • Experience building and optimizing complex BI solutions end to end
  • Experience engaging directly with business stakeholders to gather requirements
  • Experience mentoring or supporting junior engineers
  • Familiarity with Agile / SDLC processes - Python experience (automation, REST APIs, or Databricks workloads)
  • Power BI administration or Microsoft Fabric experience
  • CI/CD pipelines for BI or data platforms
  • Power Automate or Logic Apps for automation workflows
  • REST API experience (Power BI admin, automation, or table creation)
  • Azure Data Factory experience
  • Experience migrating or modernizing BI platforms at scale
  • Finance, healthcare, or revenue cycle analytics experience
  • Exposure to AI / Copilot / Generative AI tools (Databricks Genie, AI-assisted analytics)
  • Executive-facing reporting experience

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