Reporting to the Director of Engineering, you will work with our Game Developer Experience team to design, develop, and maintain modern data pipelines on our Azure platform. You will collaborate with us to transform raw data into actionable insights, supporting analytics and real-time reporting for our iconic franchises. Our inclusive culture values your unique perspective and encourages continuous learning and growth.

Our team is responsible for designing and maintaining data pipelines using Azure Data Factory, Data Lake, and Power BI for our game development teams. You will collaborate with us and data consumers to model, ingest, and improve data from multiple sources, ensuring reliable and accessible datasets. You will also guide partners in best practices for data reliability, performance, and impactful reporting using Power BI.

As a member of our team, you will participate in a production support rotation every 3-5 weeks, helping us ensure smooth operations and continuous improvement.

We're looking for a skilled Data Engineer with 2+ years of experience with Azure Data technologies, including Data Factory, Data Lake, Data Explorer, or Power BI. You should also have experience with Azure infrastructure management, database development, queries, and ETL processes, as well as DevOps practices such as Terraform, CI/CD systems, or observability platforms.

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Responsibilities:

• Design and maintain data pipelines using Azure Data Factory, Data Lake, and Power BI for our game development teams.
• Collaborate with us and data consumers to model, ingest, and improve data from multiple sources, ensuring reliable and accessible datasets.
• Guide partners in best practices for data reliability, performance, and impactful reporting using Power BI.
• Participate in a production support rotation every 3-5 weeks, helping us ensure smooth operations and continuous improvement.

Required Qualifications:

• 2+ years of experience with Azure Data technologies, including Data Factory, Data Lake, Data Explorer, or Power BI.
• 2+ years of Azure infrastructure management experience.
• 2+ years of database development, queries, and ETL processes.
• 2+ years of experience with DevOps practices such as Terraform, CI/CD systems, or observability platforms.

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In this role, you’ll build and operate scalable systems that power accurate and trustworthy local search experiences across Microsoft. As a Software Engineer II on Bing Places, you’ll collaborate with engineers, data scientists, and product partners to integrate diverse data sources, improve ranking quality, and ship features used by millions of customers.

The role offers solid growth opportunities as you deepen your expertise in distributed systems, geospatial data. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Contribute to architecture, engineering standards, and development practices across the team.

Work with appropriate stakeholders to determine user requirements for a set of features.

Contribute to the identification of dependencies, and the development of design documents for a product area with little oversight.

Create and implement code for a product, service, or feature, reusing code as applicable.

Contribute to efforts to break down larger work items into smaller work items and provides estimation.

Act as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gain approval to restore system/product/service for simple problems.

Remain current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

1+ with data engineering leveraging tools such as Apache Hadoop or Spark or equivalent experience.

Experience with Azure Cloud, Azure Data Factory (ADF) 3+ years of experience in solving, design, coding, and debugging skills.

Demonstrated experience with products that involve high availability/reliability and low latency systems.

#MicrosoftAI

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As a Software Engineer II in Bing Places, you will design and build scalable systems that enhance the accuracy, freshness, and trustworthiness of local search results. You’ll collaborate across disciplines to integrate diverse data sources, develop intelligent ranking algorithms, and ship features that directly impact millions of users. This opportunity will allow you to accelerate your career growth, deepen your understanding of geospatial and business data, and sharpen your skills in distributed systems and machine learning.

We offer flexible work arrangements, including partial work-from-home options. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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