Microsoft Logo

Microsoft

Data Engineer

Posted 2 Days Ago
In-Office
Charlotte, NC, USA
102K-219K Annually
Junior
In-Office
Charlotte, NC, USA
102K-219K Annually
Junior
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.
The summary above was generated by AI
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.

Similar Jobs

Yesterday
Remote or Hybrid
United States
70K-120K Annually
Mid level
70K-120K Annually
Mid level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.
Top Skills: Ansi SqlBigQueryBigquery SqlConfluenceGCPJIRAPythonSQL
Yesterday
Remote or Hybrid
GA, USA
Senior level
Senior level
Financial Services
Lead Data Engineer responsible for designing, building, and maintaining secure, scalable data pipelines and platforms. Develop data models, implement backup/recovery and archiving strategies, manage access controls, and apply enterprise-authorized AI to accelerate engineering workflows while validating outputs and protecting data sensitivity.
Top Skills: AIAWSDatabricksDynatraceKafkaNoSQLPysparkPythonRelational DatabasesSnowflakeSplunk
2 Days Ago
In-Office
106K-132K Annually
Senior level
106K-132K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Maintain and grow physical data center infrastructure: racking, wiring, installing and troubleshooting servers, networking and storage, perform hardware repairs, RMAs, debug Linux and network issues, manage inventory, support deployments and new site builds, participate in on-call rotation and mentor junior engineers.
Top Skills: BashData Center Power And Cooling DesignGpu HardwareLinuxNetwork CablingPower Distribution Units (Pdu)RoutersServersStorage HardwareSwitches

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account