Senior Data Engineer

Seattle, Washington, USA

Applications have closed
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Amazon.com

***This role can be located in any Amazon corporate office across North America including but not limited to New York, Boston, Los Angeles, Austin, Nashville, Washington DC, Atlanta, Houston, etc.***

Amazon strives to exceed the expectations of our customers by ensuring shipments are delivered quickly, safely, and as compliant as possible. 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. Our systems audit across a multitude of transportation segments and modes both within and across international borders. 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. As part of the team you will help lead the development of very large and complex data applications using machine learning and other mathematical and econometric models -- there is no reporting done by our data engineers.

The ideal candidate will have industry-leading data design skills, an established background leading the best data engineering team, working across multiple development teams, as well as working with large data sets and data pipelines. They will have experience defining team vision, setting up data engineering strategy, and a desire to work within a standard software development life cycle.

Basic Qualifications


· BA/BS in Computer Science, Engineering, Mathematics or related field.
· 5+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational planning/business planning or advanced degree.
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
· Experience leading teams directly or indirectly; the ability to manage processes and the flow of work in a complex environment; the ability to regularly improve processes
· Advanced ability to draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required.
· Be self-driven, and show ability to deliver on ambiguous projects in spite of incomplete or inaccurate data.
· An ability and interest in working in a fast-paced and rapidly-changing environment.

Preferred Qualifications

· MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field.
· Experience in writing and tuning SQL scripts.
· Experience working in very large data warehouse environments.
· Experience conducting large scale data analysis to support business decision making.
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

Job region(s): North America
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