Data Engineer 2
Microsoft
Data Engineer 2
Multiple Locations, United States
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Overview
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.
Do you love the excitement and learning opportunity to study, analyze, and deal with the most complex threats to digital security in today's world? Do you have the “learner” mindset, are willing to un-learn previous skills and learn new ones every day? Are you passionate about solving the challenges of security response teams? If yes, then this opportunity is for you.
The Telemetry Enforcement Engineering team, within Cyber Defense Operations is looking for a Data Engineer to drive the centralization of access and curation of critical security data while applying operational rigor to ensure real-time availability and accuracy of thousands of mission-critical data sources. About CDO - Cyber Defense Operations. An organization led by Microsoft’s Chief Information Security Officer enables Microsoft to deliver the most trusted software and services. The CDO vision is to ensure all information and services are protected, secured, and available for appropriate use through innovation and a robust risk & management framework.
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.
Qualifications
Required Minimum Qualifications:
- 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.
- 1+ years of experience in a Data Engineer or Software Engineer role with a focus on cloud-based big data processing.
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.
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.
Additional or Preferred Qualifications:
- 3+ years of experience in data engineering
- 3+ years of hands-on experience with Microsoft Kusto clusters (KQL), Azure Cosmos DB, Azure Access Control methods
- 3+ years assisting in tuning and optimizing data source and data pipeline availability rules and alerts.
- 3+ years collaborating with IT, DevOps, and other teams to remediate vulnerabilities and improve security controls/policies.
- 3+ year pipeline experience, Synapse/Python
- 3+ years of experience of DRI/Live site Engagement/Oncall experience
- 8+ years of security operations work experience, with 5 years of experience collaborating with IR/SOC.
Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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
Microsoft will accept applications for the role until November 20, 2025.
Responsibilities
- Data-Driven Analysis - Analyzes key metrics and key performance indicators (KPIs) and other data sources (e.g., bugs, unhealthy data pipeline) and identifies trends in security issues and escalates appropriately. Recommends improvements and/or metrics to address gaps in measurement.
- Leverages multiple sources of data in conducting and interpreting analysis. Evaluates data sets for anomalies and other patterns.
- Technical Insight: Provides technical insight on incident analysis and management, threat mitigation and an ability to translate into platform requirements, partnering closely with software development teams.
- Operational Rigor: Demonstrates exceptional operational rigor with real-world experience in cyber security operations, threat mitigation and incident response.
- Stakeholder Management: Manages critical stakeholder calls and meetings (including non-business hours) while addressing critical security incidents.
- Security Knowledge: Possesses extensive hands-on knowledge of security concepts including cyber-attacks, techniques, threat vectors, risk management, and incident management.
- Data Engineering & Management: Understand and administer data source access, availability, while proactively defining controls & policies to improve access and availability.
- Participate in oncall rotations/duties
Other