Collaborating Authors

Data Engineer, Physical Stores


Amazon is looking for a customer focused, analytically and technically skilled Data Engineer for Whole Foods Market Integration. As a Data Engineer for the team, you will architect and develop advanced data engineering and business intelligence solutions to integrate and provide insights into stores' selection & supply chain management, influence innovation, and deliver timely and actionable insights . In addition, you will raise the bar on existing analytic frameworks that drive decisions across multiple business teams. You will be designing analytic methods that capture data from disparate sources, draw business inferences and drive optimal decision making. As a subject matter expert, you will partner with our product management and engineering team to build advanced analytics solutions.

Software Development Engineer (Big Data and ML) - FinTech


Are you interested in building high-performance, globally scalable Financial systems that support Amazon's current and future growth? Are you seeking an environment where you can drive innovation? Does the prospect of working with top engineering talent get you charged up? If so, Amazon's Finance Technology (FinTech) is for you! As a Software Development Engineer in FinTech Treasury, you will build real time financial calculation engines and reports to assess Amazon's exposure to financial risks, and use Machine Learning (ML) to forecast cash balances across the company.

Data Engineer - AWS Product BI


Amazon is looking for a talented Data Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, S3 and IoT. Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that truly innovative BI is critical to our success.

Senior Data Engineer


Amazon's Transportation Risk and Compliance (TRC) Team protects Amazon's various transportation businesses by implementing scalable risk management solutions that foster continued business growth. To support the business, we build tools to digitize evidence collection to streamline the audit experience for our transportation partners. We are seeking a seasoned senior Data Engineer who can lead other data engineers, business analysts, and software development engineers to build the most advanced data architecture and products at Amazon and in the world. This mandates building highly available and scalable distributed systems. In this role you will be responsible for designing and delivering large data technical solutions across the TRC organization.You will define and help launch innovative analytical applications used by Product Management, Operations, Auditors, other Dev teams, and Executives with a direct impact on the design, architecture, and implementation of flagship products that customers love and use every day.

Data Scientist II- Payment Products/


DESCRIPTION The Amazon Payments Team manages all Amazon branded payment offerings, globally. These offerings are growing rapidly and we are continuously adding new market-leading features and launching new products. Our payments products (Amazon Co-Branded Credit Cards, Private Labeled Credit Cards, Non-Amazon Branded Credit Cards, Shop with Points and Foreign Exchange) provide the most innovative payment experience on and off Amazon. We manage a financial services ad serving platform (billions of impressions per year) through Amazons purchase path where we offer Amazon branded and non-branded payment products and services. Our team of high caliber software developers, statisticians, analysts and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between click through rate, approval rates and lifetime value.