Microsoft Data Engineering 

United States, Georgia, Atlanta 

764925970

We are looking for an exceptional Data Engineering to collaborate with our data science and scheduling project management team to build solutions that improve our Data Center delivery time. As a Data Engineer, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision and partnering cross-functionally.

Required Qualifications:

• 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 work
  • OR 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, or data engineering work
  • OR equivalent experience.

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:

• Bachelor's Degree in Computer Science , Math, Software Engineering, Computer Engineering , or related field AND 5+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering , or related field AND 3+ years of business analytics, data science, software development, data modeling or data engineering work experience
  • OR equivalent experience.

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 10, 2024.

• Designing and implementing data solutions that drive business impact. Turning data chaos into scalable, efficient, and automated solutions.

• Adept at leading cross-functional teams, defining data strategies, and leveraging the latest technologies in data handling and data analytics.

• Translate business requirements into data models that are easy to understand and used by different subject areas.

• Design, implement and build data models and pipelines that deliver data with measurable quality under the service level agreement.

• Partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy.

• Improve existing systems, including what areas have gaps that need to be filled, and have started working with the team and stakeholders to scope and prioritize solutions.

• Establish rigorous engineering processes to ensure service quality, delivery of new capabilities, and continuously improving metrics.

• Foster and develop talented engineers capable of developing and running scalable, reliable, maintainable services.

• Work closely with Research and Data Science to influence how optimization and modeling improve our decisions.
• Embody our and