Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

Microsoft Security's Getting Customers Ready for AI team is seeking a Data Engineer II to help build the data foundations that power AI-native security systems.

In this role, you will design and develop scalable data platforms, pipelines, and telemetry systems that transform raw signals across identity, devices, data, applications, and infrastructure into high-quality, trusted datasets for analytics and AI-driven insights.

You will work in a collaborative engineering environment to deliver reliable, secure, and performant data systems, enabling downstream AI models, security detections, and customer-facing experiences. This role is ideal for engineers looking to deepen their expertise in large-scale data systems, distributed processing, and modern data platform architectures for AI and Agents.

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.

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years of software, data, or related engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience

Other Requirements: 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.

Preferred Qualifications:

• Hands-on experience building or maintaining data pipelines and distributed data systems.

• Programming experience in Python, Scala, or SQL for data processing and pipeline development.

• Understanding of data modeling, ETL processes, and large-scale data processing concepts.

• Experience with big data frameworks (e.g., Spark, Flink) or streaming systems (e.g., Kafka/Event Hub).
• Familiarity with cloud-based data platforms (Azure preferred, e.g., ADLS, Synapse, Databricks).
• Exposure to data governance, security, and compliance practices in enterprise environments.
• Experience supporting AI/ML workloads through data pipelines, feature stores, or training datasets.
• Developed problem-solving skills with the ability to operate in ambiguity and deliver incrementally.

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