Data Engineer, Compensation, CPSA

Amazon Compensation Data team is looking for Data Engineer (DE) to join our team for modernizing data warehouses serving business intelligence data science and AI customers globally. Your role will involve designing implementing and supporting scalable solutions for metadata management data pipeline orchestration ETL data modelling and data visualization with the tools available from AWS including Sage Maker Unified Studio Redshift Glue S3 IAM Cloudwatch and Apache Airflow. As DE you will be managing data infrastructure building automated CDK based solution. You will work with stakeholders to gather requirements for data loggingstoringtransforming and reporting. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize
these datasets to answer business questions and drive for best-in-class analytics dashboard design and new innovative ideal candidate will be entrepreneurial and innovative thriving on solving challenging ambiguous problems


Key job responsibilities
Lead the modernization of one of compensation data warehouses serving customers globally. As a Data Engineering youll architect scalable data infrastructure solutions partner with business product and data science teams to deliver analytics and insights that drive day-to-day decision-making across the organization.

A day in the life
What youll do:
Build end-to-end systems from ideation experimentation through production deployment
Design and implement AI agents that automate complex decisions
Work directly with customer teams to identify automation opportunities and measure impact
Own the full project lifecycle: data pipelines deployment and monitoring


- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Bachelors degree in Computer Science Engineering Statistics Mathematics Finance or related field.
- Hands on experience with Python/Scala writing complex data transformations in spark and automating pipelines.
- Comfortable using AWS services such as EMR(Hive/Spark) Redshift S3 Glue Cloudformation.
- 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 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 Seattle - 132100.00 - 178800.00 USD annually