Data Engineer Intern: Internship Opportunities - Redmond
Microsoft
Data Engineer Intern: Internship Opportunities - Redmond
Redmond, Washington, United States
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Overview
Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.
As a Data Engineering Intern, you will establish and build processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately, and store using any combination of distributed (cloud) structures, local databases and other applicable storage forms as required. You use your knowledge of project objectives, business and customer needs and distributed data systems to develop technical tools and programming, leveraging artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data and to maintain, detect, defend, clean, and update data structures and integrity on an automated basis. You will design, build and oversees the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources.
At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
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.
Qualifications
Required Qualifications:
- Currently pursuing Bachelor’s or Master’s degree in Electrical Engineering, Optical Engineering, Computer Science, Engineering, Information Technology, or related field.
- Must have at least 1 semester/term remaining following the completion of the internship.
- Candidate must be enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship.
The base pay range for this internship is USD $5610.00 - $11010.00 per month. 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 $7270.00 - $12030.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis.
Responsibilities
- Learn to collaborate with appropriate stakeholders and interpret data requirements. Assists senior leaders with the assessment of project costs, access, usage, use case and availability for business or customer scenarios related to a product feature.
- Learn about the feasibility of data needs and supports team members by finding alternative options if requirements cannot be met and utilize relevant data metrics or measures to assess data across varied service lines.
- Support the appropriate data model for the project and reviews design specification documents to model the flow and storage of data with guidance from senior colleagues.
- Work closely with team members to identify basic improvements to design specifications, data models, or data schemas, leveraging feedback from the Program Manager, so that data is easy to connect, ingest, has a clear lineage, and is responsive to work with.
- Follows data modeling and data handling procedures to maintain compliance with applicable laws and policies across assigned workstreams. Learns about processes used to tag data based on categorization.