Data Engineering II

Microsoft • Redmond, WA

4d

About The Position

The Cloud & AI 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 is one of the largest enterprise service companies in the world. The Microsoft Insider Risk Program protects our people, data, and intellectual property from internal threats that could compromise the security and integrity of the company. Built on a foundation of collaboration, innovation, and analytical rigor, the program leverages advanced detections, behavioral analytics, and cross-disciplinary expertise to identify and mitigate insider risks across Microsoft’s global environments. We are looking for a talented Data Engineer to join our growing and fast-paced Insider Risk Engineering team. In this role, you will work on developing and managing data pipelines, joining and filtering data sets, and building advanced insider risk detections to proactively identify and address potential threats. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Requirements

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.2+ years of experience in data engineering, data science, or a hybrid data engineering/data science role.
• 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.
• Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.
• Citizenship & Citizenship Verification: This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport.

Nice To Haves

• Proficiency in query languages (e.g., SQL, KQL)
• Experience with object-oriented programming languages (e.g., Python, C#, Java, or C++)
• Experience with security product usage such as Insider Risk Management or Sentinel.
• Demonstrated ability to build and manage data systems in the cloud.
• Experience with big data systems and tools, such as PySpark, Databricks, or Azure Synapse.
• Familiar with data engineering best practices like layered data architecture, data modeling, and developing reliable and scalable data pipelines.
• Strong understanding of engineering and security compliance standards, with experience in regulated environments.
• Excellent problem-solving skills and attention to detail, with a proactive approach to identifying and mitigating risks.
• Experienced working within agile frameworks such as Scrum and Kanban.

Responsibilities

• Design, build, and optimize data pipelines to ingest, process, and prepare data for use in insider risk detection models. Join, filter, and integrate diverse data sources to create comprehensive datasets that enable effective and accurate insider risk detections.
• Work with large datasets, applying advanced data transformation techniques to ensure data quality and accessibility for risk detection. Develop, test, and deploy insider risk detection models based on data-driven insights to proactively identify anomalous or risky behavior patterns.
• Collaborate with insider risk team members to define and refine detection use cases, ensuring they are accurate, scalable, and aligned with business needs. Share knowledge and actively contribute ideas in team technical discussions.
• Maintain and monitor insider risk engineering systems to ensure reliable operation, security, and compliance with internal engineering standards and policies. Join on-call rotations, lead incident response, and drive thorough root-cause analysis.
• Document data processes, detection workflows, and system configurations to support future development and maintenance. Use development and coding best practices (e.g., reusable, modular). Own end-to-end quality for the code you deliver, including testing and DevOps automation.
• Embody our culture and values

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees