Data Engineer I

Seattle, Washington, USA

Full Time
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As a Data Engineer on this team, you will work in a tightly integrated team with other DEs and SDEs to define and build innovative data pipelines and analytical tools used by Product Management, Finance, 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.

A day in the life
As a Data Engineer on this team, you will work in a tightly integrated team with other DEs and SDEs to define and build innovative data pipelines and analytical tools used by Product Management, Finance, 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.

About the hiring group
We solve significant customer and business problems in the devices and retail spaces through big data and machine learning, building scaling science applications for all PMs at Amazon to use.


Job responsibilities
How often do you get the opportunity to be a member of a team solving significant customer and business strategy problems through big data and innovative technology? Our analytics and economics team is looking for passionate, hard-working, and talented individuals to join our fast paced, start-up environment to help invent the future of product economics. We solve significant customer and business problems in the devices and retail spaces through big data and machine learning, building scaling science applications for all PMs at Amazon to use.

As a Data Engineer on this team, you will work in a tightly integrated team with other DEs and SDEs to define and build innovative data pipelines and analytical tools used by Product Management, Finance, 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. The ideal candidate will have industry-leading data skills, a desire to be a technology building engineer, an established background working with big data, programming environments, and data pipelines.



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.

Basic Qualifications


· 1+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Degree in Computer Science, Engineering, Mathematics, or a related field or 7+ years industry experience
· Relevant experience in analytics, data engineering, business intelligence, market research or related field
· Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
· Experience using SQL, ETL and databases with large-scale, complex datasets


Preferred Qualifications

· Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field
· Both technically deep and business savvy enough to interface with all levels and disciplines within the organization
· Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, marketing, finance, and operations
· Knowledge of Advanced SQL and a programming language
· Experience with data visualization using Tableau or similar tools
· Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
· Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams
· A desire to work in other languages, such as Python and Java




Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.


Job region(s): North America
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