Data Engineer II, Advertising, Support Products & Services (SP&S) Job at Amazon

Overview

Amazon Advertising is looking for a curious and resourceful Data Engineer with strong database and analytical skills, and big data technology experience to join the Support Products & Services organization. You’ll help revolutionize how we understand and leverage advertising data to support advertisers using self-service applications, our Help products, an LLM-driven chatbot, and a global network of contact centers.

This role offers the opportunity to shape the future of advertising analytics at Amazon by architecting data infrastructure, delivering end-to-end solutions with immediate impact across our systems, and leveraging AWS technologies and Amazon’s internal tools to empower millions of advertisers.

Responsibilities

• Work with stakeholders to understand business questions, define requirements, and build scalable data solutions that bridge business, science, and engineering needs.
• Design and maintain robust data pipelines to transform complex data into actionable insights using AWS and internal tools.
• Interface with technology teams to extract, transform, and load data from diverse sources and influence upstream and partner data teams for reliability.
• Manage AWS resources (EC2, EMR, S3, Glue, Redshift, etc.) and explore new AWS technologies to improve capabilities and efficiency.
• Implement governance and security measures to protect sensitive information.
• Create user-friendly data products to support analytics and experimentation and empower decision-making across teams.
• Build end-to-end data solutions using Python, Spark, Airflow, and various AWS services to integrate multiple systems.

About The Team

Advertiser Support Products & Services (SP&S) aims to provide the right support and services at the right time to help advertisers grow with Amazon. The team addresses issues, provides education in the moment of need, resolves problems, and surfaces intelligent guidance to customers at the right time.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience building large-scale, high-throughput, 24x7 data systems
• Experience with distributed data extraction, ingestion, and processing of large data sets
• Experience in at least one modern scripting/programming language (Python, Java, Scala, or NodeJS)
• Experience with SQL

Preferred Qualifications

• Experience with AWS technologies (Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM)
• Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is an equal opportunity employer and does not discriminate on 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year to $205,600/year. Pay is based on market location and job-related knowledge, skills, and experience. Amazon is a total compensation company; depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided in addition to a full benefits package. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Location: Seattle, WA

Company - Amazon.com Services LLC

Job ID: A3083906

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