Principal Data Engineer (Security)

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.

Take the next step in your career now, scroll down to read the full role description and make your application.

Microsoft Defender for Endpoint is at the forefront of cybersecurity, providing preventive protection, post-breach detection, investigation, and response capabilities.

As part of our team, you'll play a pivotal role in shaping the future of cybersecurity technology.

Responsibilities

Do you have a passion for data, coding, and cybersecurity? Are you passionate about leveraging large volumes of data to draw deep insights designed to improve protecting customers against cyber attacks?

We're seeking a highly experienced Data Engineer to join our team and contribute to the advancement of Microsoft Defender for Endpoint.

As a Principal Data Engineer (Security), your responsibilities will include :

• Collaborating with a diverse team of Technical Program Managers, Security Researchers, Data Scientists, and Engineers.
• Evaluating, proposing, and developing innovative tools, technologies, and strategies to enhance our end-to-end data workflows.
• Expanding the capabilities of our data model by understanding dependencies across projects and leading conversations with stakeholders to make iterative improvements to design specifications, data models, and schemas.
• Creating, managing, and optimizing data pipelines to support various workflows.
• Developing and maintaining data pipelines and back-end services for real-time decision-making, reporting, optimization, and data collection.
• Designing and implementing monitoring systems and dashboards to maintain the health and integrity of our data feeds and pipelines.
• Providing mentorship, conducting code reviews, and promoting best practices to ensure the highest quality of data engineering.
• Contributing to the strategic vision, architecture, and execution of our data platform and self-serve data analytics systems.

Qualifications

Required / Minimum 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+ year(s) experience in business analytics, data science, software development, or data engineering work
• OR equivalent experience.

3+ years of experiences in processing large volumes of data in distributed environments.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 thereafter.

Preferred Qualifications

• Familiarity with software development tools such as GIT, automated build systems, compilers, and project tracking systems.
• Experience with cloud development principles and patterns, including loosely-coupled architectures, microservices, dev-ops models, and distributed systems.
• Proficiency in measuring the health and effectiveness of systems.
• Demonstrated ability and motivation to self-teach and navigate through ambiguity.
• Passion for cybersecurity is a plus, although previous experience or knowledge is not required.

Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here : https : / / careers.

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Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and / or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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