We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.

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.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Qualifications:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work OR equivalent experience.
• 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
• Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.
• 3+ years experience with data governance, data compliance and/or data security.
• 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.
• Extensive use datastores like RDBMS, key-value stores, etc.
• 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

#mai-datainsights #mai-datainsights

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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

XML job scraping automation by YubHub

We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.

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.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Qualifications:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work OR equivalent experience.
• 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
• Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.
• 3+ years experience with data governance, data compliance and/or data security.
• 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.
• Extensive use datastores like RDBMS, key-value stores, etc.
• 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.

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.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities: Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases. Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values.

Qualifications: Required Qualifications: Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work OR equivalent experience. Preferred Qualifications: 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL. Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc. 3+ years experience with data governance, data compliance and/or data security. 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Data Engineering Manager - Microsoft AI - Copilot at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Data Engineering Manager - Microsoft AI - Copilot, you will be responsible for building scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases. You will work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services.

The Candidate we're looking for

Experience:

• 6+ years experience in business analytics, data science, software development, data modeling or data engineering work.

Technical skills:

• 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
• Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.

Personal attributes:

• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.

Benefits

• Software Engineering M5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Data Engineering Manager - Microsoft AI - Copilot at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Data Engineering Manager - Microsoft AI - Copilot, you will be responsible for building scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases. You will work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services.

The Candidate we're looking for

Experience:

• 6+ years experience in business analytics, data science, software development, data modeling or data engineering work.

Technical skills:

• 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
• Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.

Personal attributes:

• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.

Benefits

• Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Data Engineering Manager - Microsoft AI - Copilot at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Data Engineering Manager - Microsoft AI - Copilot, you will be responsible for building scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases. You will work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services.

The Candidate we're looking for

Experience:

• 6+ years experience in business analytics, data science, software development, data modeling or data engineering work.

Technical skills:

• 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
• Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.

Personal attributes:

• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.

Benefits

• Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

XML job scraping automation by YubHub