Data Engineer, Identity Services

- 7+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon's Identity Services team is seeking a Senior Data Engineer to transform massive volumes of raw data into datasets that enhance customer authentication, account security, and user profiles.
As a Senior Data Engineer, you will work on the design of large-scale data solutions capable of processing terabytes of data per hour. You will build, optimize, and maintain the data architecture that enables Identity Services' analytics team. Your work will collaborate with stakeholders to uncover insights that shape the future of our business strategy.

Key job responsibilities
* Set the technical strategy for the data and analytics teams
* Work on the design and implementation of data solutions capable of ingesting, processing, and storing terabytes of data per hour related to Amazon customer authentication and account management
* Collaborate with cross-functional teams, including product, engineering, and analytics, to align on data requirements and priorities
* Manage and optimize high-performance, fault-tolerant data infrastructure capable of handling hundreds of billions of rows
* Work closely with internal teams to understand their data needs and translate them into efficient data models and pipelines
* Ensure data quality, reliability, and security throughout the data lifecycle
* Automate data pipeline processes and implement monitoring and alerting to ensure consistent and reliable data delivery
* Stay up-to-date with the latest data engineering tools, technologies, and best practices, and introduce new solutions as appropriate