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Software Engineer II, Data Intelligence

Microsoft

Software Engineer II, Data Intelligence

full-timePosted: Jul 7, 2026Updated: Aug 27, 2026Redmond, WA, US

Job Description

OverviewMicrosoft Digital (MSD) builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster, and more securely every day. Microsoft Digital employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates.We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more!As a Software Engineer II on the Data Intelligence team, you will design, develop, and maintain AI-driven network and security intelligence solutions. Partnering with senior engineers and data scientists, you will help apply machine learning models for applications such as anomaly detection and classification and contribute to Generative AI solutions built on Azure OpenAI and the M365 platform. You will build and operate data engineering pipelines using technologies like Spark, Synapse/ADF, Azure Data Explorer (Kusto), and Fabric. This role is an excellent opportunity to deepen your technical skills and grow your ability to deliver end-to-end solutions.This position is based at the Redmond campus with 3 days per week work in the office and 2 days per week work from home. Relocation assistance is available.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.ResponsibilitiesDevelop and maintain features for AI-driven network and security intelligence solutions.Contribute to building and enhancing machine learning models and Generative AI agents with guidance from senior team members.Build and support data engineering pipelines using technologies such as Spark, Synapse/ADF, Azure Data Explorer (Kusto), and Fabric.Collaborate with cross-functional teams, including network engineers and data scientists, to integrate AI/ML solutions into Microsoft’s network infrastructure.Troubleshoot live-site issues and participate in the DRI (Designated Responsible Individual) rotation.Help ensure the scalability, reliability, and performance of AI, ML, and data solutions.Write clean, testable, well-documented code and participate in code reviews.Apply security, privacy, and compliance best practices throughout the development lifecycle.Stay current with advancements in AI, ML, and data engineering technologies.QualificationsRequired 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 PythonOR equivalent experience. Preferred Qualifications:1+ years experience building data solutions, including databases (SQL/No-SQL) and ETL / data pipelines using cloud services, OR equivalent experienceExperience with the Azure Big Data stack (Data Lake, Spark, Hadoop) and distributed processing such as Apache Spark, Azure Data Factory (or Synapse), or equivalent.Experience with Azure, REST APIs, and Web Apps OR equivalent.Experience building and/or applying machine learning solutions.Familiarity with LLMs, SLMs, skills and agentsFamiliarity with network engineering concepts.#MSD #MSDJOBS #AI Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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-payThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.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.

Locations

  • Redmond, WA, US

Salary

102,100 - 202,200 USD / yearly

Skills Required

  • coding in languages includingintermediate
  • data solutionsintermediate
  • Azure Big Data stackintermediate
  • Azureintermediate
  • and/or applying machine learning solutionsintermediate
  • LLMsintermediate
  • network engineering conceptsintermediate

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 PythonOR equivalent experience. (experience, 2 years)

Preferred Qualifications

  • 1+ years experience building data solutions, including databases (SQL/No-SQL) and ETL / data pipelines using cloud services, OR equivalent experience (experience, 1 years)
  • Experience with the Azure Big Data stack (Data Lake, Spark, Hadoop) and distributed processing such as Apache Spark, Azure Data Factory (or Synapse), or equivalent. (experience)
  • Experience with Azure, REST APIs, and Web Apps OR equivalent. (experience)
  • Experience building and/or applying machine learning solutions. (experience)
  • Familiarity with LLMs, SLMs, skills and agents (experience)
  • Familiarity with network engineering concepts. (experience)
  • #MSD #MSDJOBS #AI (experience)
  • Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. (experience)
  • 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 (experience)
  • This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. (experience)

Responsibilities

  • Develop and maintain features for AI-driven network and security intelligence solutions.
  • Contribute to building and enhancing machine learning models and Generative AI agents with guidance from senior team members.
  • Build and support data engineering pipelines using technologies such as Spark, Synapse/ADF, Azure Data Explorer (Kusto), and Fabric.
  • Collaborate with cross-functional teams, including network engineers and data scientists, to integrate AI/ML solutions into Microsoft’s network infrastructure.
  • Troubleshoot live-site issues and participate in the DRI (Designated Responsible Individual) rotation.
  • Help ensure the scalability, reliability, and performance of AI, ML, and data solutions.
  • Write clean, testable, well-documented code and participate in code reviews.
  • Apply security, privacy, and compliance best practices throughout the development lifecycle.
  • Stay current with advancements in AI, ML, and data engineering technologies.

Benefits

  • general: Flexibility: Balance what matters—your work, your life, and your team—through trust, autonomy, and shared accountability
  • general: Growth: Stretch your skills, expand your impact, and grow with support that meets you where you are
  • general: Wellbeing: Support for your body, mind, and financial future—so you can stay energized and do your best work
  • general: Community PCS: Find your people, build your network, and feel supported every step of the way

Travel Requirements

Less than 25%

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