Data Engineer, Ads Science Analysis & Tech (ASAT)

Join the Ads Science Analysis & Tech (ASAT) team at Amazon Ads in Seattle. This onsite data engineering role focuses on building analytics tools to trace complex data flows and convert deep-dive analyses into actionable insights for product teams, with a salary range of USD 111,400 to 185,000 per year. The role offers strong benefits, including comprehensive health coverage, 401(k) matching, paid time off, parental leave, and sign-on with restricted stock units. The position requires a bachelor's degree and at least one year of data engineering experience, and your work can influence bidding algorithms, targeting decisions, and feature releases.

Responsibilities

• Analyze data trends related to supply, optimization, ad load, and mix effects to measure advertiser performance and support progress toward advertiser goals
• Present findings to senior leaders on topics such as feature development impact on identity recognition rates and changes to ad selection systems to improve fill rate, guiding business and engineering roadmaps
• Formalize analytics approaches for Ads auctions by examining bid spreads, auction depth, and simulating the potential impact of alternative auction structures
• Identify, standardize, and operationalize KPIs to gauge the performance of all ad-serving components, using trends to inform business priorities
• Collaborate with engineering to define data logging requirements and secure prioritization on roadmaps
• Validate financial models through rigorous analysis
• Develop and maintain ad revenue and supply intelligence dashboards that deliver ongoing, in-depth insights

Requirements

• Minimum 1 year of data engineering experience
• Proficiency with SQL
• Experience in data modeling, warehousing, and building ETL pipelines
• Bachelor's degree

Technologies

• SQL
• GitHub

Benefits

• Comprehensive health coverage including medical, dental, vision, prescription, Basic Life and AD&D, with optional Supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy reimbursement
• 401(k) with company matching
• Paid time off and parental leave
• Sign-on payments and restricted stock units (RSUs)

A day in the life

In this role you will collaborate with business leaders and engineers to design data architectures that enable consistent logging across data grains and ensure interoperability from bid flow through optimization to campaign delivery. You will analyze the data and circulate papers and ongoing reports that translate findings into actionable guidance.

About the team

The Ads Science Product Team aims to equip product stakeholders with objective analysis and practical business logic to uncover insights, inform strategic decisions, and adapt to industry changes.