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Data Engineer – Power Apps / Power BI / SQL & SSIS

Title: Data Engineer – Power Apps / Power BI / SQL & SSIS
Location: Austin – Round Rock, Texas, USA
Work Arrangement: On-site, 4 days per week
Position Overview: We are seeking an experienced Data Engineer with strong expertise in Microsoft Power Platform technologies, particularly Power Apps, Power BI, SQL databases, and SQL Server Integration Services (SSIS). The ideal candidate will have hands-on experience developing, debugging, troubleshooting, and maintaining business applications and data integration solutions. The candidate should also have experience with the Nintex Platform and be capable of identifying and resolving application issues, troubleshooting data workflows, and supporting reliable business processes. This role requires a practical, problem-solving professional who can work closely with business stakeholders and technical teams to maintain and improve enterprise applications and reporting solutions. Key Responsibilities1. Power Apps Development and Support Develop, maintain, troubleshoot, and enhance applications using Microsoft Power Apps. Debug application issues, identify root causes, and implement effective resolutions. Troubleshoot application performance, functionality, connectivity, and integration problems. Support existing applications and implement enhancements based on business requirements. Ensure application reliability, usability, and alignment with business processes.2. Nintex Platform Work with the Nintex Platform to support and maintain business workflows and process automation solutions. Troubleshoot workflow failures, configuration issues, and process execution errors. Identify opportunities to improve workflow efficiency and reliability. Collaborate with relevant teams to resolve application and workflow-related issues.3. SQL Database and SSISWork with SQL databases to query, analyze, validate, and manage business data. Develop, maintain, debug, and troubleshoot SSIS packages used for data integration and ETL processes. Investigate data loading failures, transformation errors, package execution issues, and data inconsistencies. Monitor data workflows and support data quality, accuracy, and reliability. Optimize SQL queries and troubleshoot database-related performance issues as required.4. Power BI and Reporting Develop, maintain, and troubleshoot Power BI reports and dashboards. Work with data sources and SQL databases to support business reporting requirements. Validate reporting data and investigate discrepancies between source systems and reports. Collaborate with stakeholders to improve reporting accuracy and visibility into business performance.5. Technical Support and Collaboration Analyze technical issues, perform root-cause analysis, and document resolutions. Work with cross-functional teams to resolve application, database, integration, and reporting issues. Maintain technical documentation for applications, workflows, SSIS packages, and troubleshooting procedures. Support ongoing system maintenance, enhancements, and process improvements.
Required Qualifications and Skills: Minimum 5 years of relevant professional experience in data engineering, application development, business intelligence, or a related technical role. Strong hands-on experience with Microsoft Power Apps, including debugging, troubleshooting, and issue resolution. Experience working with the Nintex Platform. Solid knowledge of SQL databases and SQL query troubleshooting. Practical experience with SSIS packages, including debugging, execution monitoring, and troubleshooting ETL processes. Experience with Power BI reports, dashboards, and data connectivity. Strong analytical, problem-solving, and root-cause analysis skills. Good communication skills and the ability to work effectively with technical and business teams.
Preferred Qualifications: Experience supporting enterprise business applications and data integration solutions. Familiarity with Microsoft Power Platform integrations and workflow automation. Experience with data validation, ETL troubleshooting, and performance optimization. Ability to manage multiple technical issues and prioritize resolution based on business impact.