Data Engineer III​/GC​/ONSITE Cincinnati

Data Engineer III

Location:

Onsite - Cincinnati

• PowerBI
• SQL
• Tableau

Business Intelligence Developer Job Description

• Design and implement Power BI data models.
• Develop interactive reports and dashboards using Power BI Desktop and the Power BI service.
• Connect and integrate data from databases, cloud services, and flat files.
• Analyze data to identify trends and visualize insights with charts, graphs, and other visualizations.
• Optimize Power BI solutions for performance, ensuring efficient data retrieval and report rendering.
• Collaborate with stakeholders and IT teams to gather requirements and deploy Power BI solutions.
• Ensure data governance, accuracy, security, and compliance with relevant regulations and policies.
• Develop and utilize DAX calculations to extend Power BI functionality and perform complex analyses.
• Use SQL for data retrieval and manipulation in conjunction with Power BI transformations.
• Create and maintain technical documentation for Power BI solutions, including data models, report designs, and data lineage.
• Provide support and troubleshooting for Power BI solutions, addressing user issues and resolving technical problems.
• Stay updated with the latest Power BI features, updates, and best practices.

• 3-4 years of experience in Power BI.
• Strong analytical mindset.
• 3-5 years of experience in SQL.
• Excellent communication skills.
• Ability to run meetings.
• Problem solving and critical thinking.
• Onsite in Cincinnati.

• Data Stage
• Dataiku
• AFS system application (AFS Level III or Vision)

• Bachelor's degree in Computer Science, Information Systems, or equivalent.
• Strong communication skills – ability to convey ideas verbally and in writing to management, business, and IT sponsors, and technical resources.
• Excellent analytical and problem‑solving skills when resolving data‑related issues or designing new solutions.
• Experience with SDLC and ability to assist in Project Management; understanding of release management protocols.
• Deep knowledge and experience with Microsoft Power BI, including:
  • Data Modeling – designing and building models, understanding relationships, and optimizing performance.
  • DAX (Data Analysis Expressions) – writing complex formulas for calculations, measures, and derived columns.
  • Power Query (M) – connecting to data sources, transforming, and cleaning data.
  • Report & Dashboard Design – creating visually appealing, user‑friendly, and informative reports.
  • Data Visualization – selecting appropriate chart types and designing layouts.
  • SQL – strong understanding of querying databases, extracting and manipulating data.
  • Data Warehousing Concepts – familiarity with star and snowflake schemas, ETL processes.
  • Data Sources – experience with SQL Server, Excel, Azure SQL Database, cloud‑based sources, etc.
  • Performance Optimization – identifying and resolving performance issues in Power BI reports and data models.

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance
• 401(k) with company match and optional profit sharing
• Paid vacation time
• Paid Bench time
• Training allowance
• Referral bonuses