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Software Data Operations Engineer

Software Engineering | Redmond, WA | Full Time | From $80,000.00 to $120,000.00 per year

Job Description

About MAQ Software

As Microsoft Power BI Partner of the Year 2021, we enable leading companies to accelerate their business intelligence and analytics initiatives. Our solutions enable our clients to improve their operations, reduce costs, increase sales, and build stronger customer relationships.

Our clients consistently recognize us for providing architecture and governance frameworks, implementing best practices to optimize reports, and building team capability through training programs. Our innovative tools and 43 certified visuals expand Power BI capabilities to save time for decision makers.

As a premier supplier to Microsoft for two decades, our clients benefit from our extensive insights into the platform and engineering practices. Microsoft has awarded us seven specializations for meeting Microsoft's highest standards of service delivery. Our clients improve their implementations with the breadth and depth of our expertise.

With globally integrated teams in Redmond, Washington, and Mumbai, Hyderabad, and NOIDA India, we deliver solutions with increased velocity and tech intensity. Our daily delivery and feedback model offers the flexibility to adapt solutions to changing business needs.

Inc. magazine has recognized us for sustained growth by listing us on the Inc. 5000 list eleven times – a rare honor.

Engineering culture

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 some of our projects:

  • We built an analytics platform for a leading fintech company using Azure services, enabling them to scale to 1000+ customers and provide self-service, near real-time analytics. Our solution, based on Azure Synapse, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Power BI, followed the best practices of the Azure Well-Architected Framework, and leveraged migration strategies from Microsoft’s Cloud Adoption Framework. Our automated deployment framework reduced setup time from days to hours. The platform now offers powerful self-service analytics, enabling their customers to reach millions of borrowers faster and easily integrate machine learning models for innovation.

  • We helped an organic supermarket chain migrate to Microsoft Power BI and Azure Synapse to improve their reporting and data analytics capabilities. The previous system was time-consuming, error-prone, and offered limited visualization and self-service capabilities. With the new solution, the client can now perform direct queries between front-end Power BI reports and back-end data, enabling real-time insights and a holistic view across teams. Azure Synapse also provides higher data security. The migration resulted in automatic report generation, reduced operational costs, increased ROI, and better business decisions.

  • We developed a chatbot for the Arizona Department of Economic Security (DES) to improve its Program Service Evaluator (PSE) training. The chatbot used Microsoft Azure Cognitive Services to answer PSE questions based on the policy manual of various state benefit programs. The chatbot learned from user feedback and crawled the policy content automatically. The chatbot increased evaluation efficiency, reduced senior staff time, and provided conversational responses to PSEs. The chatbot integrated seamlessly into the PSEs’ workflow and was accessible through a web interface and Skype for Business.

  • Our client, a leader in the energy and utilities sector, needed a scalable solution to analyze large volumes of IoT data from diverse applications. We used Power BI and Azure Data Explorer (ADX) to ingest, transform, and visualize semi-structured JSON data from network logs. Our solution reduced the data refresh time, handled dynamic schema changes, and enabled comprehensive analysis using Direct Query mode. Our client gained real-time insights and a competitive edge in the industry with our robust and effective solution. The solution also facilitated efficient data ingestion and transformation, effectively tackled issues pertaining to data refresh and dynamic schema of data.

  • We helped a multinational food and beverage chain to improve its sales forecasting accuracy by building a hybrid machine learning model on Azure Databricks. The model used historical sales, weather, and event data to predict future sales and analyze the impact of various factors on sales. The model also detected and explained seasonal and daily spikes and lag periods. Our model reduced the MAPE value from 0.13 to 0.09 and enabled the client to make better business decisions.

To read about some of our recent projects, visit


Analyze existing systems (30%)

  • Collect requirement specifications to analyze business processes and determine the exact nature of user’s system requirements, map process flow, discuss with module leaders and core team members to decide on the architecture.

  • Analyze existing system structures to provide solutions to improve computer systems to use cloud-based systems and services.

  • Analyze user requirements to match data available to large computer database source systems to implement solutions at reasonable performance and cost.

  • Design the processing steps and propose new systems based on the user’s requirements. Interact with systems analysts/programmers to develop data migration tools, create processes for the new computer system and attend to ad-hoc issues related to day-to-day activities. Work with software developers in the implementation and testing phase.

Develop specifications and workflow (25%)

  • Prepare software specifications, flow charts, and process diagrams for software programmers to follow. Develop and maintain systems documentation such as design specifications, user manuals, technical manuals, descriptions of application operations, and methodology documentation. 

  • Analyze feasibility using commercially available software systems (e.g., Microsoft Azure versus Amazon Web Services) and reporting systems (e.g., Power BI versus Tableau).

Analyze and verify implementation (25%)

  • Interact with systems analysts/programmers to develop data migration tools, create processes for the new computer system and attend to ad-hoc issues related to day-to-day activities.

  • Work with other software developers in the implementation and testing phase.

  • Setup test environment and compare data from multiple sources to verify reports for end users.

Review implementation status and reporting (10%)

  • Participate in technical collaboration meetings and periodical reviews of implementation status.

  • Report weekly task plan to the project management team for implementation of custom software.

Training and certifications (10%)

  • Participate in technical training and complete relevant industry courses and certifications.


Undergraduate or graduate degree in Computer Science, Information Systems, Electrical Engineering, Applied Computational Math Sciences, or related Engineering discipline.


  • Pay range ($80,000-$120,000)

  • Comprehensive medical, dental and vision insurance with employee premiums paid in full.

  • 401(k) retirement plan with 3% company match and immediate vesting

  • Paid time off (three weeks)