Data Engineer

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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.

• $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
• 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 Computerworld Best Places to Work in IT

• 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

• 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

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.