Software Data Operations Engineer

Software Data Operations Engineer
Redmond, Washington
About MAQ Software

MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered solutions enable clients to improve their productivity, reduce costs, increase sales, and build stronger customer relationships.

Our clients consistently recognize us for providing architecture and governance frameworks using the Well-Architected Framework, implementing best practices to optimize reports, and building team capability through training programs.

Clients choose to work with us because they are confident in our software delivery. Our confidence results from a commitment to consistent outcomes, reduced time to market, and a transparent workflow. Clients benefit from daily software updates, agile practices, domain expertise, AI adoption, and rapid feedback implementation.

As a premier supplier to Microsoft for over two decades, MAQ Software clients gain extensive insights and engineering practices across the Microsoft platform and can improve their implementations with our breadth and depth of expertise.

As one of the top 25 global partners, Microsoft has awarded MAQ Software eight specializations for meeting their highest standards of service delivery to Fortune 500 companies.

With over 1,800 engineers, MAQ Software has globally integrated teams in Redmond, Washington;
Plano, Texas; and Noida, Mumbai, and Hyderabad, India, delivering solutions with increased velocity and tech intensity. Our daily delivery and feedback model offers the flexibility to adapt solutions to changing business needs.

MAQ Software’s dedication to customer success has led to sustained growth. Inc. magazine has recognized MAQ Software for sustained organic growth by listing us on the Inc. 5000 list twelve times —a rare honor.

At MAQ Software, we foster a strong engineering culture with a can-do attitude. Our key managers come from excellent educational backgrounds and have significant experience in growing a company and mentoring software engineers. Due to our smaller size, we are agile and able to adopt the latest technologies and computing trends ahead of larger industry players.

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 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 ng 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 processing data from 22 file formats across multiple sources. Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global load balancing, and Microsoft Entra  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 insights and dramatically faster report access. By integrating Snowflake-managed Iceberg tables into Microsoft Fabric via One Lake shortcuts and leveraging Power BI’s Direct Lake mode, we built a scalable architecture that eliminated data duplication and significantly reduced latency. Our team leveraged Azure Data Lake Storage for external volume dumps, semantic modeling for streamlined analytics, and Fabric F256 SKU with autoscale for optimized compute.
  
  The result: report load times dropped by 80%, refresh cycles shrank…