As a Principal Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions.

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, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Work with a security-first mindset, focusing on system scalability and maintainability.
• Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ 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 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.
• Familiarity with Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

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Responsibilities

Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.

Develop and optimize data models to support data analytics.

Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.

Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.

Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.

Work with a security-first mindset, focusing on system scalability and maintainability.

Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

6+ years of experience in software engineering, with a focus on data engineering and data analytics.

Solid experience with data processing frameworks such as Apache Spark, Hadoop.

Expertise in SQL and experience with RDBMS, Key Value stores.

Familiarity with cloud platforms and data services.

Excellent problem-solving skills and the ability to work independently and as part of a team.

Solid communication skills.

Familiarity with Azure.

Experience with machine learning and data science tools and frameworks.

Knowledge of data visualization tools (e.g., Tableau, Power BI).

Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

#MicrosoftAI Software Engineering IC5 – 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. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Work with a security-first mindset, focusing on system scalability and maintainability.
• Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ 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.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.
• Familiarity with Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 8+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.
• Familiarity with Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

Salary Range:

• 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.

Benefits:

• Microsoft is an equal opportunity employer.
• All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
• If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Microsoft are looking for a talented Senior Software Engineer at their Mountain View office. This role sits at the heart of driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions.

About the Role

As a Senior Software Engineer, you will play a key role in designing and implementing scalable data solutions. You will collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. You will develop and optimize data models to support data analytics, utilize advanced analytics techniques to extract insights from large datasets, and drive data-driven decision making.

Accountabilities

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.

The Candidate we're looking for

Experience:

• 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.

Personal attributes:

• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.

Benefits

• The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 per year.

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Microsoft are looking for a talented Senior Software Engineer 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 digital advertising technology. You'll work directly with leadership to shape the company's direction in the advertising market.

About the Role

As a Senior Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions. You will collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. You will develop and optimize data models to support data analytics and utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making.

Accountabilities

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making.

The Candidate we're looking for

Experience:

• 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.

Personal attributes:

• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.

Benefits

• Competitive salary range of $119,800 - $234,700 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft are looking for a talented Senior Software Engineer 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 digital advertising technology. You'll work directly with leadership to shape the company's direction in the advertising market.

About the Role

As a Senior Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions. You will collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. You will develop and optimize data models to support data analytics, utilize advanced analytics techniques to extract insights from large datasets, and drive data-driven decision-making.

Accountabilities

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making.

The Candidate we're looking for

Experience:

• 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.

Personal attributes:

• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.

Benefits

• Competitive salary range of USD $119,800 – $234,700 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub