Data Engineer, Workforce Solutions
Bellevue, WA - USA
Department:
Job Summary
Were looking for data engineers who are passionate about building large-scale data solutions designing infrastructure for analyzing massive data volumes solving complex problems using modern technology and making direct impact on one of the worlds most visited sites. At Amazon customer obsession drives everything we do and our data engineers tackle challenges that impact millions of customers sellers and products globally. We operate in a fast-paced environment where ship cycles are measured in weeks not years.
A key focus of this role involves harnessing the power of Generative AI to optimize data source discovery and pipeline development building intelligent agents to help Business Intelligence Engineers and Scientists identify emerging opportunities creating self-service capabilities for stakeholders and developing AI-integrated data platforms. We seek curious minds who think big and want to define tomorrow. Join us in creating solutions that change the world.
Key job responsibilities
Key job responsibilities
* Design develop implement test document and operate large-scale high-performant data structures for big data analytics.
* Translate business requirements into robust scalable operable solutions that work well within the overall data architecture.
* Solving complex problems by aggregating multiple large datasets to enable informed decision making.
* Working with large datasets and developing big data pipelines that move data from source systems to data warehouses S3 data lakes and other data storage and processing systems using Big Data and Cloud technologies.
* Implementing data structures using best practices in data modeling ELT/ETL (Extract/Transform/Load) processes using big data tools such as Spark Hive SQL Apache Airflow AWS Glue EMR Lambda S3 Redshift and OLAP technologies.
* Following software engineering best practices in writing code (using programming languages like Python SQL and Scala) reviewing code with peers and testing for all related data processing systems.
* Maintaining and optimizing infrastructure required to support scalable and high availability data lakes and data pipelines to store and process petabyte scale datasets.
- 3 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 with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 132100.00 - 178800.00 USD annually
Required Experience:
IC
About Company
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