Data & Reporting Application Engineer

Job Description:

Data & Reporting Application Engineer / Senior Software Engineer with a strong focus on SQL, Databricks, Power BI, automation, and application support.

Essential Job Functions

• Design, develop, test, and maintain software applications, databases, and reporting solutions that support business operations and decision-making.

• Develop and maintain complex SQL scripts, stored procedures, data transformations, and database objects to support reporting and application requirements.

• Lead and support the migration of data solutions from SQL Server environments to Databricks, ensuring data integrity, performance, and scalability.

• Design, maintain, and optimize Power BI reports, dashboards, datasets, and semantic models to deliver accurate and actionable business insights.

• Develop advanced DAX measures, calculations, and data models to support complex business reporting requirements.

• Manage and troubleshoot multiple data connections within Power BI, including SQL databases, Databricks environments, APIs, files, and Power BI semantic models.

• Maintain and enhance Power Automate workflows that support data ingestion, reporting automation, file transfers, and business processes.

• Support automated processes such as:

  • Loading Power BI data into SQL databases.
  • Transferring email attachments from shared mailboxes to FTP locations for downstream processing.
  • Monitoring and resolving workflow failures.

• Perform root cause analysis of data discrepancies, identify data quality issues, and implement corrective actions.

• Collaborate closely with business stakeholders to investigate reporting issues, define requirements, and develop sustainable solutions.

• Manage SSL certificate renewals and installations for web applications, services, and supporting infrastructure to ensure security and compliance.

• Monitor application and reporting environments, proactively identifying risks, performance issues, and opportunities for improvement.

• Debug and resolve production issues across applications, databases, reporting platforms, and automation solutions.

• Participate in architecture, design, and code reviews, ensuring adherence to development standards and best practices.

• Evaluate and recommend new technologies, tools, and processes that improve efficiency, scalability, and reliability.

• Embrace and promote the adoption of AI technologies across reporting, data, automation, and application support processes by continuously evaluating where AI can be applied to improve efficiency, productivity, decision-making, user experience, and business outcomes.

Basic Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or equivalent experience.

• Typically 5+ years of experience in software development, data engineering, reporting, or application support roles.

• Strong expertise in SQL development, query tuning, stored procedures, data modeling, and database design.

• Experience with Databricks and modern cloud-based data platforms.

• Advanced knowledge of Power BI, including: Data modeling, DAX measures, Semantic models, Report and dashboard development, Data gateway and connection management

• Experience with ETL/ELT processes and data integration solutions.

• Experience developing and maintaining Power Automate workflows and process automation solutions.

• Knowledge of SSL certificates, certificate lifecycle management, and application security best practices.

• Strong analytical and problem-solving skills with the ability to investigate and resolve complex data issues.

• Ability to work directly with business stakeholders to gather requirements and translate them into technical solutions.

• Strong communication, documentation, and collaboration skills.

• Demonstrated ability to manage multiple priorities and take ownership of critical business systems.

• Experience working with Azure DevOps (ADO) for Agile project delivery, work item management, defect tracking, and release coordination.

• Demonstrated interest in AI technologies and a willingness to identify, evaluate, and adopt AI capabilities that enhance business processes, reporting solutions, automation, and software delivery practices.

Preferred Qualifications

• Experience migrating data platforms from traditional SQL environments to Databricks or similar cloud-based analytics platforms.

• Experience with Azure Data Services, Azure Data Factory, Azure Storage, or related Microsoft data technologies.

• Experience integrating data from multiple enterprise systems and external data sources.

• Knowledge of FTP/SFTP integrations, email processing automation, and file-based data ingestion processes.

• Microsoft certifications in Azure, Power BI, Data Engineering, or related technologies.

• Experience supporting production business-critical reporting and analytics environments.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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