Come build a brand-new data architecture environment from scratch in the Merchant Fulfilled Network (MFN) team within the Customer Service (CS) organization to support robust reports, machine learning (ML) models, and complex data analysis.
We are looking for an experienced Data Engineer who thrives in an ambiguous environment and is able to create foundational solutions that will sustain the scale of a rapidly growing team. The ideal candidate should be highly analytical, thorough, and an organized self-starter.
As a Data Engineer on the team, this candidate will help design a data architecture from the ground up and help it mature to support high-volume data related to Buyers, Sellers, Concessions Attribution, as well as Buyer/Seller Abuse and Seller Experience.
This candidate should excel at designing, creating, managing, and modeling large datasets to meet business use cases. This candidate should have excellent business and technical communication skills to be able to work with business owners to develop and define key business questions, and to build data pipelines, integration engineering, ML workflows, and automation solutions that answer those questions.
This role requires an individual with excellent problem-solving skills, expertise in working with streaming data, deep knowledge of data pipeline engineering using AWS data technologies, a strong understanding of business intelligence solutions, and familiarity with how ML models work.
This candidate will primarily be responsible for setting up a robust data warehouse platform, designing and implementing complex ETL pipelines in the data warehouse platform and other business intelligence (BI) solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as a service, which will have an immediate influence on day-to-day decision-making at Amazon. This candidate will also be responsible for designing and
implementing deployment dependencies for ML models, including feature engineering, model hosting, and integration mechanisms.
Key job responsibilities
A day in the life
Embark on an exciting journey to build a data infrastructure from the ground up, empowering the MFN and Buyer/Seller Abuse prevention teams to reach new heights using data as a strategy and LLM projects!
As a Data Engineer, you will have the unique opportunity to architect a robust, scalable data ecosystem using the latest AWS technologies. You will leverage agile methodologies to create sustainable, innovative solutions that will drive business growth and deliver real-time insights to decision-makers.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
The Data & Insights team is a dynamic, cross-functional group working within a rapidly growing organization. While relatively new, we are highly skilled and passionate about driving data-powered innovation at speed and at scale.
If you thrive in a fast-paced, collaborative environment and are eager to contribute to the development of transformative data capabilities, we encourage you to apply. Together, let's elevate our data maturity and deliver meaningful business outcomes.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year 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.
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