Data Engineer, Ads Central FP&A

We are hiring a Data Engineer II to help build the next generation of our financial data and analytics this role you will own end-to-end data solutions from pipeline design and orchestration to data quality frameworks GenAI-enabled automation and self-service analytics with limited guidance. You will solve complex problems around revenue attribution financial data modeling and system performance while partnering with Financial Analysts BI teams Accounting and Ads leadership to translate requirements into well-architected deliverables. You will recommend architecture improvements present solutions to stakeholders and coordinate across teams writing clear documentation negotiating priorities and maintaining appropriate data governance to ensure the data reaching leadership is accurate timely and scalable.

Beyond technical delivery you will mentor team members on data infrastructure pipeline architecture and Ads-specific data models. You will identify and drive process improvements including metrics enhancements optimization and automation of manual workflows and contributions to data engineering standards and best practices. You will participate in scoping and prioritizing data engineering needs during critical financial planning process. Innovation is key on this team as we are building AI agents event-driven orchestration platforms and self-service analytics tools that are changing how Finance teams interact with data.

About the team
The Ads Central FP&A Data and Analytics team owns the data infrastructure that powers financial reporting for Amazons Advertising business across all products and geographies. We build scalable data and technology solutions that provide leadership with clear visibility into the financial metrics that drive business decisions.

- 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 big data technologies such as: Hadoop Hive Spark EMR
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Bachelors degree

- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- Masters degree in computer science engineering analytics mathematics statistics IT or equivalent

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