Data Engineer

Posted Yesterday
4 Locations
In-Office
102K-219K Annually
Junior
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Design, build, and maintain scalable data pipelines, backend services, and data governance to enable real-time decisioning, reporting, and high-quality data products. Ensure secure, well-tested code, collaborate cross-functionally, and support data quality, security, and CI/CD for analytics and AI use cases.
Summary Generated by Built In
Overview

Within CEAI, our Data Engineering and AI team leverages Microsoft Fabric, Azure Data Services, advanced analytics, and AI technologies to design, build, and manage scalable enterprise data solutions. We deliver trusted, high-quality data products, platforms, and insights that empower teams across Microsoft to make data-driven decisions, optimize business processes, improve operational efficiency, and drive strategic outcomes through modern data, analytics, and AI capabilities. 

 

We are looking for a Data Engineer that is interested in helping our organization empower learners through producing valuable data that can be used to understand the needs of the organization to make the right decisions. 


Responsibilities
  • Data Management and Transformation 
  • Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions. 
  • Produce well-tested, and secure code. 
  • Develop and maintain software designed to improve data governance and security. 
  • Develop processes designed to ensure Data Security and Data Quality.  
  • Work collaboratively with teammates in a fast-paced environment. 
  • Work to help build an inclusive working environment.  

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.


Other Qualifications

Citizenship & Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport.

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. 


Preferrerd Qualifications

  • 3+ years building and maintaining end-to-end data systems and supporting services. 
  • 3+ years Incorporating data processing and workflow management tools into pipeline design. 
  • 3+ years’ experience in ETL/ELT, Data warehousing, and/ or Business Intelligence Development. 
  • 3+ years using SQL to understand data and to investigate data issues or problems and provide solutions. 
  • 2+ years working with cloud data technologies. 
  • 2+ years’ experience with:  
    • Python / PySpark / Scala 
    • Azure Synapse Analytics 
    • MS Fabric 
  • Experience with AI tools. 
  • Understanding of data warehousing and ETL concepts.  
  • Design, implementation and testing skills. 
  • Problem-solving skills and software development habits. 
  • Experience understanding data and data exploration using querying languages such as SQL. 
  • Written and verbal communication skills. 
  • Communication and collaboration skills. 
  • Experience producing high quality Data products. 
  • Experience work with No-SQL storage and databases such as Azure Storage/ Data Lakes/ Or Cosmos DB.
  • Experience with creating, editing and administering PowerBI data Models.
  • Experience developing for continuous integration and automated deployments. 
  • 1+ years software development using languages like JavaScript, Java, or C#. 

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



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

Skills Required

  • Master's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related AND 1+ year experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's degree in related field AND 2+ years experience OR equivalent experience.
  • Verification of U.S. citizenship via valid passport (citizenship-based legal restrictions).
  • Ability to meet Microsoft, customer and/or government security screening requirements (Microsoft Cloud Background Check).
  • 3+ years building and maintaining end-to-end data systems and supporting services.
  • 3+ years incorporating data processing and workflow management tools into pipeline design.
  • 3+ years experience in ETL/ELT, data warehousing, and/or Business Intelligence development.
  • 3+ years using SQL for data understanding and issue investigation.
  • 2+ years working with cloud data technologies.
  • 2+ years experience with Python, PySpark, or Scala.
  • Experience with Azure Synapse Analytics.
  • Experience with Microsoft Fabric (MS Fabric).
  • Experience with AI tools.
  • Understanding of data warehousing and ETL concepts.
  • Design, implementation and testing skills; software development best practices.
  • Experience with NoSQL storage/databases such as Azure Storage, Data Lakes, or Cosmos DB.
  • Experience creating, editing, and administering Power BI data models.
  • Experience developing for continuous integration and automated deployments.
  • 1+ years software development using languages like JavaScript, Java, or C#.
  • Written and verbal communication, and collaboration skills.
  • Experience producing high-quality data products.

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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