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Sr Data Engineer, Ads AI Core Services
Amazon
H1B ✓On-sitesenior levelPosted April 20, 2026
About the Role
Develop and maintain scalable data architecture and ingestion models using AWS and big data technologies to support advertising services. Partner with cross-functional teams to drive data-based business decisions and improve the resilience of advertising systems.
Requirements
Requires 5+ years of data engineering experience with proficiency in SQL and at least one modern programming language. Candidates must have experience in data modeling, warehousing, and building ETL pipelines.
Full Job Description
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
The Ads AI Core infrastructure team develops core services to support Ads agents needs for Advertiser Registration and Access Management, Ad Catalog Service, Billing, Data Ingestion/Publishing and Analytics that underpin advertising programs such as Sponsored Products and Sponsored Brands. This role will see you collaborate with a large number of teams across WW Advertising to drive key initiatives to improve resilience of advertising systems.
We're looking for a Sr. Data Engineer who is passionate about data and the insights that large amounts of data can provide, experienced in designing and building data marts, and enjoys working with PB-scale data. The role will work with a team of business and tech savvy professionals (DEs, BIEs, SDEs, and PMs) to lay down scalable data architecture for ingesting large amounts of structured and unstructured datasets, building views that can be easily consumed by customers, and partnering with stakeholders to drive data-based business decisions.
The ideal candidate will possess both a data engineering background and a strong business acumen that enables him/her to think strategically. He/she will experience a wide range of problem solving situations, requiring extensive use of data collection and analysis techniques such as data mining and machine learning.
Key job responsibilities
In this role, you will work with business leaders, engineers, and stakeholders across Ads, Sales, Finance, Marketing, and Service teams. You will:
- Develop and improve the current data architecture using AWS Redshift, AWS S3, AWS Aurora (Postgres) and Hadoop/EMR
- Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability
- Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased datasets of advertiser experience
- Partner with stakeholders to build and verify hypothesis to improve business performance
- Manage and support business critical reports and reporting tools to monitor KPIs Basic Qualifications: - 5+ 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 Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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 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.
USA, WA, SEATTLE - 154,600.00 - 209,100.00 USD annually
The Ads AI Core infrastructure team develops core services to support Ads agents needs for Advertiser Registration and Access Management, Ad Catalog Service, Billing, Data Ingestion/Publishing and Analytics that underpin advertising programs such as Sponsored Products and Sponsored Brands. This role will see you collaborate with a large number of teams across WW Advertising to drive key initiatives to improve resilience of advertising systems.
We're looking for a Sr. Data Engineer who is passionate about data and the insights that large amounts of data can provide, experienced in designing and building data marts, and enjoys working with PB-scale data. The role will work with a team of business and tech savvy professionals (DEs, BIEs, SDEs, and PMs) to lay down scalable data architecture for ingesting large amounts of structured and unstructured datasets, building views that can be easily consumed by customers, and partnering with stakeholders to drive data-based business decisions.
The ideal candidate will possess both a data engineering background and a strong business acumen that enables him/her to think strategically. He/she will experience a wide range of problem solving situations, requiring extensive use of data collection and analysis techniques such as data mining and machine learning.
Key job responsibilities
In this role, you will work with business leaders, engineers, and stakeholders across Ads, Sales, Finance, Marketing, and Service teams. You will:
- Develop and improve the current data architecture using AWS Redshift, AWS S3, AWS Aurora (Postgres) and Hadoop/EMR
- Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability
- Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased datasets of advertiser experience
- Partner with stakeholders to build and verify hypothesis to improve business performance
- Manage and support business critical reports and reporting tools to monitor KPIs Basic Qualifications: - 5+ 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 Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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 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.
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 https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 154,600.00 - 209,100.00 USD annually