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Data Engineer II

Microsoft is a global technology company that empowers every person and organization on the planet to achieve more.
$100,600 - $199,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
Enterprise SaaS · Cybersecurity

Job Description

Microsoft Security aspires to make the world a safer place for all by reshaping security and empowering users, customers, and developers with end-to-end simplified solutions. As a Data Engineer II in the Microsoft Identity security team, you'll be crucial in protecting users from account compromise and fraud. Working closely with data scientists and ML engineers, you'll implement cloud-based ML and data infrastructure, create and optimize large data sets and pipelines, and build monitoring dashboards.

The role involves implementing robust data pipelines, optimizing big data job performance, and maintaining compliance with applicable laws and policies. You'll be part of a team that creates and improves machine learning-based detections to block malicious actors from harming Microsoft's systems and customers.

The position requires expertise in cloud-based big data processing, with experience in tools like Apache Spark and Python. You'll need to handle very large data volumes, work with data visualization tools like Power BI, and contribute to performance monitoring protocols across data pipelines.

Microsoft offers a culture centered on embracing a growth mindset, inspiring excellence, and encouraging teams to bring their best. The company provides comprehensive benefits including healthcare, educational resources, savings and investments, parental leave, and opportunities for networking and professional growth.

This role is part of Microsoft's broader mission to empower every person and organization on the planet to achieve more, working within a culture that values respect, integrity, and accountability. The position offers a hybrid work environment with up to 50% work from home flexibility and requires occasional travel (0-25%).

Last updated 3 hours ago

Responsibilities For Data Engineer II

  • Implement robust data pipelines to extract, validate, and process raw data
  • Optimize performance of big data jobs
  • Contribute to performance monitoring protocols across data pipeline
  • Maintain compliance with applicable laws and policies
  • Advocate for best practices in data engineering

Requirements For Data Engineer II

Python
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience OR Bachelor's Degree with 2+ years experience
  • 1+ years of experience in a Data Engineer or Software Engineer role with cloud-based big data processing
  • Experience in developing tools and data pipelines processing large volume data using Apache Spark and Python
  • Experience with data visualization tools like Power BI
  • Must pass Microsoft Cloud Background Check

Benefits For Data Engineer II

Medical Insurance
Education Budget
Parental Leave
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Opportunities to network and connect

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