Data Engineer- Data Science Focus, Ads Science Analysis & Tech (ASAT)

Join a company that values practical impact, comprehensive benefits, and a collaborative culture. This on-site role in Palo Alto offers a salary from USD 111,400 to 185,000 per year, and a benefits package designed to support you and your family. You will be an early‑career Data Engineer with a Data Science orientation, building tools to analyze advertising data, refining bidding and targeting, and evaluating feature releases. Collaboration with product and engineering will shape data logging and KPIs to drive measurable improvements in Amazon Ads analytics.

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance covering medical, dental, vision, prescription, plus Basic Life & AD&D with optional supplemental life plans
• Employee Assistance Program (EAP) and Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement
• 401(k) matching
• Paid time off and Parental leave

What you will do

• Analyze data trends related to supply, optimization, ad load, and advertising mix to gauge effects on advertiser performance and help reach advertiser goals
• Present analyses to senior leaders on topics such as how feature development influences identity recognition rates and how changes to ad selection impact fill rate, highlighting insights that inform business and engineering roadmaps
• Formalize analytics approaches for Ads auctions by examining bid spreads, auction depth, and simulating potential auction structure changes
• Identify, standardize, and operationalize KPIs to measure the performance of all ad-serving systems, using trend insights to guide business priorities
• Collaborate with engineering teams to define data logging requirements and secure prioritization on engineering roadmaps
• Validate financial models through rigorous analysis
• Develop and maintain ad revenue and supply intelligence analytics decks for ongoing, in-depth reviews

What we are looking for

• 1+ years of data engineering experience
• Experience with SQL
• Experience with data modeling, warehousing, and building ETL pipelines

Technologies you will use

• SQL
• Python
• R
• GitHub

A day in the life

As part of the Ads Science Product Team, you will work with business leaders and engineers to develop a cohesive data architecture that enables consistent data logging across varying grains and supports data interoperability from bid flow through optimization to campaign delivery. You will analyze the data and share actionable insights through papers and ongoing reports, guiding decisions across product and engineering functions.

About the team

The Ads Science Product Team aims to apply objective analysis and business logic to uncover insights, inform strategic decisions, and adapt to industry changes. You will contribute to a mission that aligns data-driven recommendations with product development and market dynamics.