Software Data Operations Engineer

As a part of our globally distributed engineering team, our engineers gain exposure to the latest software engineering practices and fast development cycles, providing them with the opportunity to work on challenging technical problems that utilize cutting-edge technologies for fast-paced software delivery. Our collaborative and supportive work environment encourages innovation and growth, making our company an exciting and rewarding place to work.

Examples of some of our projects:

We built an agentic AI solution that redefined event information access for a global technology leader, delivering instant, accurate answers to attendee questions at scale. Using Azure OpenAI Service, Azure AI Search, and Azure Machine Learning, combined with Retrieval-Augmented Generation (RAG), we engineered a secure, multilingual Copilot platform capable of processingdata from 22 file formats across multiple sources. Our team leveraged Azure Databricks for advanceddata transformation, Azure Front Door for global load balancing, and Microsoft Entra ID with Azure Key Vault for enterprise-grade security. The result: a system that served over 200,000 users, handled millions of interactions, and reduced support requests by 70%, setting a new benchmark for scalable, intelligent, and personalized event experiences.

We built a high-performance reporting solution that redefined data refresh efficiency for a leading office supply retailer, delivering near real-time insightsand dramatically faster report access. Using Snowflake Iceberg tables, Microsoft Fabric, and Power BI with DirectLake and OneLake shortcuts, we created a scalable architecture that eliminated data duplication and reduced latency. Our team leveraged Azure Data Lake Storage for external volume dumps, semantic modeling for streamlined analytics, and Fabric F256SKUwithautoscalefor optimized compute. The result: report load times dropped by 80%, refreshcyclesshrank from 10 days to minutes, and infrastructure costs fell by 60%, setting a new benchmark for enterprise-grade reporting performance.

We helped a global industrial technology leader transform its construction operations by replacing a fragmented, batch-based ERP system with a real-time intelligence solution built on Microsoft Fabric. The previous setup—based on Databricks and Snowflake—struggledwith delayed data updates, high maintenance, and siloed systems. By implementing Microsoft Fabric’s Real-Time Intelligence capabilities, includingEventstreams, Reflex, and Power BI dashboards, we enabled real-time data ingestion, anomaly detection, and instant insights. Theresult: 20–30% cost savings, 50% less IT maintenance, and a 10x improvement in data latency. This empowered faster decision-making, proactive issue resolution, and a more agile, data-driven organization.

We helped a Fortune 500 office supply retailer modernize its reporting by migrating from MicroStrategy to Power BI. The legacy system was costly and inefficient, requiring over 150 duplicate reports and individual licenses for each user. Our solutionconsolidatedthese into just five dynamic Power BI reports, each customizable with bookmarks and filters. ByleveragingSnowflake and Import Mode, wedelivereda scalable semantic model and a user-friendly experience. The result: reduced license costs, faster reporting, and empowered business users with self-service analytics.

We built an AI-powered chatbot for a global manufacturer of industrial test and diagnostic equipment to improve access to project lifecycle management data. Using Azure OpenAI, Azure AI Search, and Azure App Service, the solution indexed documents from SharePoint—including PDFs, Excel files, and dynamic web pages—into a centralized, searchable interface. Power Automate and custom code streamlined data ingestion and processing, while Azure Cosmos DB stored historical interactions. The chatbot enabled employees to retrieve accurate insights quickly, reducing manual effort and improving decision-making. Post-deployment, the client achieved higher productivity, lower operational costs, and seamless access to project data through a single unified interface.

To read about some of our recent projects, visit https://maqsoftware.com/case-studies