Data Engineer, Marketing Insights and Technology

Amazon Advertising is one of Amazons fastest-growing businesses. The Marketing Insights and Technology (MINT) team builds the data infrastructure that powers advertising insights used by Amazons global sales organization and advertisers. Our insights help advertisers from the largest global brands to small businesses understand their audiences optimize their marketing spend and drive awareness consideration and purchase of their products across Amazon Prime Video Twitch and beyond. Our data pipelines also feed agentic workflows that serve insights to advertisers and sales teams at scale.

We are looking for highly motivated data engineers to design develop and maintain data pipelines that serve the needs of our large and growing advertiser base. Youll build systems that ensure timely accurate and trustworthy insight delivery directly impacting thousands of users and billions in advertising spend. Youll work alongside senior engineers scientists and product managers in a fast-paced environment where data quality and reliability are first-class priorities.

Key job responsibilities
- Own the development and maintenance of data integration data pipelines and data lake solutions
- Implement scalable data models for serving data needs of analytics business intelligence engineering and agentic workflows
- Collaborate with top-notch multi-disciplinary technical professionals (e.g. Software Development Engineers Data Engineers and Product Managers) to deliver on behalf of customers
- Use your expertise to improve existing data pipelines running in Amazon data platform solutions Datanet/Cradle and AWS compute (Glue EMR Airflow)
- Actively contribute to teams documentation of data artifacts and learning
- Use introspection and feedback from teammates and peers to raise the bar for your team
- Be an example of Amazons leadership principles and work to grow peers within your group

About the team
MINT builds foundational datasets and data services that power Amazon Advertisings insights platform (IHub). We own 300 datasets with established data contracts and operate a Data Quality Transparency and Trust program ensuring our insights are accurate timely and explainable. Our infrastructure integrates with Ads platform systems and supports sales-facing experiences

- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions

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 NY New York - 111400.00 - 185000.00 USD annually