Job Description

We are Azure Resource Graph (ARG) team part of the Azure Core team that is responsible for building and maintaining a unified, accurate, and secure inventory of Microsoft's cloud and edge infrastructure, enabling security, compliance, operational excellence, and actionable business insights across Microsoft. By blending data, analytics and AI, we aim to unlock hidden insights to enhance Azure resiliency, efficiency and security posture, and deliver exceptional value to our partners and stakeholders. As a Data Engineer, you will be responsible for sourcing, curating and building high quality datasets to enable various partner scenarios. You will be responsible for building highly scalable and low latency data pipelines that is capable of processing Petabytes of data. You will be responsible of going deep into domains and building insights by leveraging high quality data. 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. **Responsibilities** + Builds scalable data models and data pipelines to extract, load and transform data, ensures secure data storage, with focus on data quality and compliance. + Tackle challenges of scale and criticality that will broaden your engineering horizons. + Supports identification of dependencies, and the development of design documents for a product feature with oversight. + Assists and learns about breaking down work items into tasks and provides estimation. + Works with appropriate stakeholders to determine user requirements for a feature. + Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook. **Qualifications** **Required Qualifications:** + Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field + OR equivalent experience. + 1+ year(s) experience in building highly scalable data pipelines using Apache Spark. + 1+ year(s) experience leveraging Big data Cloud technologies **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:** + Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field + OR Bachelor'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 equivalent experience. + Experience with Azure Data tech stack Data Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **Microsoft will accept applications for the role until July 20th, 2025.** \#azurecorejobs 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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