Job Description

***This is an onsite position***

At Conn Selmer, we're passionate about music and dedicated to producing the highest-quality instruments for musicians of all skill levels. As a member of our organization, we seek candidates who possess the following values: Integrity, Excellence, Teamwork, Inclusivity, and Innovation. Please see our Conn Selmer website ( for more information about who we are. 

The Junior Data Engineer is responsible for performing data analysis on ERP systems, financial systems, and custom-developed applications.

Responsibilities:

• Perform data analysis on ERP systems including Microsoft Dynamics 365 and Dataverse.
• Perform data analysis on financial systems and custom-developed applications.
• Develop Power BI and Microsoft Fabric reports for financial analysis and management reporting.
• Create SQL-based queries and integrate with Data Factory pipelines to facilitate data analysis and automation.
• Support and maintain data models to enhance BI reporting within Fabric’s Lakehouse and Warehouse environments.
• Engage and interact with business users to identify requirements and translate them into reporting and data solutions.
• Troubleshoot and resolve BI and data integration issues across Power BI, Fabric, and Data Factory.
• Collaborate with business users to address ad-hoc data analysis requests.
• Prioritize tasks and responsibilities to manage workload effectively.
• Fully analyze the impact of report and data requests and determine the appropriate strategy for delivery.
• Escalate high-priority or production-critical issues to appropriate support staff.
• Make recommendations for process improvements, automation, and data governance best practices.
• Communicate effectively with technical and non-technical stakeholders.

Qualifications:

• Bachelor of Science in Information Systems/MIS, Computer Science, Business, or related field (or equivalent experience).
• Hands-on experience with Power BI (including Power BI Service and Fabric integration).
• Strong SQL skills.
• Exposure to Microsoft Fabric (Lakehouse, Data Warehouse, Pipelines).
• Exposure to Azure Data Factory or similar ETL/ELT tools.
• 1–2 years of experience in Business Intelligence or Data Engineering.
• Familiarity with Microsoft Dynamics 365 and Dataverse.
• Experience or coursework in data integration, orchestration, or Fabric-based workflows.
• Knowledge of Azure Synapse Analytics.
• Familiarity with PowerApps and Power Pages (formerly PowerPortal).

Recommended Certifications (or willingness to obtain within first 6 months):

• PL-300: Microsoft Power BI Data Analyst
• DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
• DP-203: Data Engineering on Microsoft Azure
• Future Fabric certifications as they become available

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