Description Amazon co-ops are full-time positions, and co-op students should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Students should not have conflicts such as classes or other employment during the Amazon work-day. Applicants must be currently enrolled in a co-op program at their school in the US, and should have a minimum of one quarter/semester/trimester remaining in their studies after their co-op concludes. By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN). You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer. Start dates for our co-ops in this posting include the following period: Winter (Starts January/February 2025) 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, Amazon is looking for a Data Engineer Co-op to join one our many lines of business. Amazon co-ops 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. Key job responsibilities During a Data Engineer Co-op, 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. A day in the life We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Basic Qualifications - Experience with database, data warehouse or data lake solutions - Experience with SQL - Experience with one or more scripting language (e.g., Python, KornShell, Scala) - Are 18 years of age or older - Work 40 hours/week minimum and commit to 6 month internship maximum - Experience with data transformation. - Currently enrolled in a co-op program in the US. - Currently enrolled in or will receive a Bachelor’s in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline with a conferral date between October 2025 – December 2028. Preferred Qualifications - Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model - Experience building data pipelines or automated ETL processes - Experience writing and optimizing SQL queries with large-scale, complex datasets - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Previous technical internship(s), if applicable - Prior experience with AWS - Can articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational) - Enrolled in a Master’s Degree or advanced technical degree with a conferral date between October 2025 – December 2028. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $43.85/hr in our lowest geographic market up to $88.94/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.