Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?
If this describes you, consider joining us as an intern. Rackspace is looking for a data engineer intern to join our Cloud Data Services. Our interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.
Key job responsibilities : As a Presales Data intern, you will/may:Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.Design data schema and operate internal data warehouses and SQL/NoSQL database systems.Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.Monitor and troubleshoot operational or data issues in the data pipelines.Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.Develop code based automated data pipelines able to process millions of data points.Improve database and data warehouse performance by tuning inefficient queries.Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.
Qualifications & Experience:Enrolled in a Master’s Degree or advanced technical degreePrevious technical internship(s), if applicablePrior experience with AWSCan articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational)Understand the basics of designing and implementing a data schema (e.g., normalization, relational model vs dimensional model)Experience building data pipelines or automated ETL processesKnowledge of writing and optimizing SQL queries with large-scale, complex datasetsExperience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, and reporting/analytic tools and environmentsExperience with data visualization software (e.g., AWS QuickSight or Tableau)
LocationThis is a remote role in USA
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.