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Data Engineer , AWS Infrastructure Supply Chain IntelligenceAmazon • Arlington, Texas, United States
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Data Engineer , AWS Infrastructure Supply Chain Intelligence

Amazon
  • US
    Arlington, Texas, United States
  • US
    Arlington, Texas, United States
Jetzt Bewerben

Über

Job ID: 10437540 | Amazon.com Services LLC AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain – and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We are looking for a talented Data Engineer to join the Manufacturing Operations, Transportation Operations, and Reverse (MOTOR) organization in support of our Supply Chain Intelligence team. MOTOR manages the manufacturing of datacenter racks and the movement of racks/parts through the supply chain, consisting of transportation, warehousing, and reverse logistics into and out of the data centers. This role helps connect the different systems across the supply chain together so operational teams have clean, actionable data to work with. It requires strong analytic skills, business acumen, and an ability to work with stakeholders on strategic projects across MOTOR. Key Job Responsibilities Build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices. Build datasets that analysts and scientists use to generate actionable insights. Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements. Develop high‑quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements. Collaborate with Research/Applied Scientists, Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother. Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using AWS data technologies. Lead the technical design and implementation of the data infrastructure. Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders. About the Team This team provides data engineering and business intelligence engineering services to the rest of MOTOR. It is the data experts behind the scenes who help operational teams focus on operations by ensuring they have accurate, timely data and provide business insights to help improve operational excellence. Basic Qualifications 3+ years of data engineering experience Experience with data modeling, warehousing, and building ETL pipelines Experience with CI/CD pipelines and build processes Proficiency in one or more scripting languages (e.g., Python, Ruby, Perl) Experience working with Git or an equivalent distributed version control system Preferred Qualifications Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non‑relational databases / data stores (object storage, document or key‑value stores, graph databases, column‑family databases) Experience developing, deploying and managing AI products at scale Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. The base salary range for this position is $132,100.00 – $178,800.00 USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance and supplemental life plans, EAP, mental health support, medical advice line), flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
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  • Arlington, Texas, United States

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  • English
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