TQL

About the role:

As a Data Engineer, with TQL you will be supporting the FP&A department by developing scalable reporting solutions in Microsoft Fabric. This role will focus on migrating data from on-premises systems to the cloud, building and optimizing SQL views and pipelines, and creating governed Power BI datasets and semantic models. 

What’s in it for you:

• $85,000-$125,000 base salary + performance bonuses
• Advancement opportunities with aggressive and structured career paths
• A culture of continuous education and technical training with reimbursements available
• Hybrid work environment with the ability to work remotely 40 hours per month
• Comprehensive benefits package
  • Health, dental and vision coverage
  • 401(k) with company match
  • Perks including employee discounts, financial wellness planning, tuition reimbursement and more
• Certified Great Place to Work and voted a 2019-2026 Computerworld Best Places to Work in IT

What you’ll be doing:

• Migrate FP&A datasets from on-premises to Microsoft Fabric/Lakehouse
• Build and maintain SQL pipelines, transformations, and views that support reporting needs
• Ensure performance, scalability, and reliability through automation, monitoring, and CI/CD best practices
• Design, publish, and manage Power BI certified datasets, semantic models, and reports/dashboards
• Apply best practices in DAX, modeling, and governance to enable accurate, self-service reporting
• Partner with Finance stakeholders to translate reporting requirements into technical deliverables
• Implement processes to ensure accuracy, consistency, and reconciliation across financial and operational systems
• Maintain documentation of data models, business logic, and reporting standards
• Troubleshoot and resolve issues impacting reporting accuracy or performance
• Collaborate with Data Governance and Quality teams to align with enterprise standards and metadata frameworks
  

What you need:

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
• 3+ years of experience in BI/data engineering or analytics engineering
• Advanced SQL skills with proven experience in building and optimizing large-scale datasets
• Strong Power BI expertise (datasets, DAX, performance tuning, semantic models)
• Hands-on experience with Microsoft Fabric and Lakehouse/cloud data platforms preferred 
• Knowledge of financial reporting concepts and ability to work with FP&A stakeholders p 
• Strong problem-solving skills and ability to bridge Finance and IT needs

Where you'll be: 4289 Ivy Pointe Boulevard, Cincinnati, Ohio 45245

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.