Tech Engineer Jobs
E-Solutions
Data Engineer
Company : E-Solutions
Location : Cincinnati, OH, 45208
Job Type : Full Time
Date Posted : 2 October 2026
Data Engineer
Cincinnati, Ohio Onsite (5 days)
Full time
Data Engineer III Intelligence Developer Job Description Open Position(s): Proficiency in Power BI: Including data modeling, DAX, Power Query, and report/dashboard design. SQL Knowledge: For data querying and manipulation. Data Warehousing: Understanding principles like ETL and data modeling concepts. MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: - bachelor's degree in computer science/information systems or equivalent combination of education and experience. - Strong communication skills- Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group. - Excellent analytical and problem-solving skills when resolving data related issues or designing new solutions - Experienced in SDLC and can assist in Project Management. Able to understand release management protocols and manage important tasks for implementation. - Power BI Proficiency: Deep knowledge and experience with Microsoft Power BI, including Data Modeling: Designing and building data models within Power BI, understanding relationships, and optimizing performance. DAX (Data Analysis Expressions): Writing complex DAX formulas to perform calculations, define measures, and create derived columns. Power Query (M Language): Using Power Query to connect to various data sources, transform, and clean data. Report & Dashboard Design: Creating visually appealing, user-friendly, and informative reports and dashboards that effectively communicate insights. Data Visualization: Choosing appropriate chart types, designing layouts, and effectively presenting data through compelling visualizations. SQL: Strong understanding of SQL for querying databases, extracting data, and data manipulation. Data Warehousing Concepts: Familiarity with data warehousing principles, star schemas, snowflake schemas, and ETL processes. Data Sources: Experience connecting to and working with a variety of data sources (e.g., SQL Server, Excel, Azure SQL Database, cloud-based data sources). Performance Optimization: Ability to identify and resolve performance issues in Power BI reports and data models. MUST HAVE SKILLS • Power BI 3-4 years • Analytical • SQL, 3-5 years
Cincinnati, Ohio Onsite (5 days)
Full time
Data Engineer III Intelligence Developer Job Description Open Position(s): Proficiency in Power BI: Including data modeling, DAX, Power Query, and report/dashboard design. SQL Knowledge: For data querying and manipulation. Data Warehousing: Understanding principles like ETL and data modeling concepts. MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: - bachelor's degree in computer science/information systems or equivalent combination of education and experience. - Strong communication skills- Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group. - Excellent analytical and problem-solving skills when resolving data related issues or designing new solutions - Experienced in SDLC and can assist in Project Management. Able to understand release management protocols and manage important tasks for implementation. - Power BI Proficiency: Deep knowledge and experience with Microsoft Power BI, including Data Modeling: Designing and building data models within Power BI, understanding relationships, and optimizing performance. DAX (Data Analysis Expressions): Writing complex DAX formulas to perform calculations, define measures, and create derived columns. Power Query (M Language): Using Power Query to connect to various data sources, transform, and clean data. Report & Dashboard Design: Creating visually appealing, user-friendly, and informative reports and dashboards that effectively communicate insights. Data Visualization: Choosing appropriate chart types, designing layouts, and effectively presenting data through compelling visualizations. SQL: Strong understanding of SQL for querying databases, extracting data, and data manipulation. Data Warehousing Concepts: Familiarity with data warehousing principles, star schemas, snowflake schemas, and ETL processes. Data Sources: Experience connecting to and working with a variety of data sources (e.g., SQL Server, Excel, Azure SQL Database, cloud-based data sources). Performance Optimization: Ability to identify and resolve performance issues in Power BI reports and data models. MUST HAVE SKILLS • Power BI 3-4 years • Analytical • SQL, 3-5 years
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