Sr. Data Engineer - Global Marketing (Herndon, Virginia Or Seattle)

3+ months agoArlington, VA


Amazon is one of the most-loved brands in the US. This Data Engineer will help pinpoint how Amazon can continue to delight customers. We are the Data and Insights team, and we serve the Lifecycle Engagement and North American Marketing teams. Our work informs strategies that encourage customers to choose Amazon for their day-to-day shopping needs.

About Us
The Data and Insights team does three things. 1) We identify trends in customer behavior using analytical and Data Science techniques. 2) We design automated reporting using AWS technologies and Business Intelligence tools. And 3) we create data products like customer segments and propensity models. We are a new team, which brings the opportunity to invent in undefined spaces. We have the privilege and the responsibility of having an outsized influence with our business partners.

About You

You want to make changes that help millions of customers. You don't want to make something 10% better as a part of an enormous team. Rather, you want to innovate with a small community of passionate peers. You have experience in analytics, reporting, and big data, and a desire to learn more about these subjects. You want a trusted role in strategy and product design. You put the customer first in your thinking. You have great problem solving skills. You research the latest data technologies and use them to help you innovate and keep costs low. You have great judgment and communication skills, and a history of delivering results.

Your Responsibilities
• Define and own AWS-based data architectures, technical strategies logical data models, and end-to-end data flows with a high degree of independence.
• Influence the broader team's approach to solving problems in Data Science, Econometrics, and Business Intelligence.
• Advise senior leadership, both tech and non-tech.
• Simplify, optimize, remove bottlenecks, etc. using extensible, scalable solutions.
• Improve business and engineering team process via data architecture, engineering, test, and operational excellence best practices.
• Make technical trade-offs independently between short-term needs and long-term goals.


• Bachelor's degree
• 5+ years of experience in Data Engineering, Business Intelligence, or Software Development
• 5+ years of hands-on experience in writing complex, highly-optimized SQL queries and/or workflows processing large data sets (millions to billions of rows)
• Experience building big data solutions in AWS using technologies like Athena, EMR, Glue, Lambda, S3, Redshift, or DynamoDB.
• Experience in at least one programming or scripting language (e.g. Python, Java, C++, Scala)
• Experience working with Business Intelligence, Economists, or Data Scientists to design services for production environments


• MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or related field
• Experience successfully communicating with internal customers, other technical teams, and senior management to collect requirements, describe data modeling decisions or data engineering strategy
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Experience using business intelligence reporting tools (Quicksight, Power BI, Tableau, Cognos, etc.)
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, budgeting, and operations
• " Ability to work on a diverse team or with a diverse range of coworkers"
"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

We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief."

Job ID: Amazon-1363372