Data Engineer II, DSP Analytics

Do you enjoy diving deep into data, developing real-time and batch pipelines that generate actionable insights?The DSP Analytics team has an exciting opportunity for a Data Engineer to make impactful contributions Basic qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Bachelor's degree in Computer Science, Engineering, or related fields - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting Preferred: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience designing or building AI agents or multi-agent solutions that automate engineering workflows - Familiarity with agentic AI patterns including tool use, function calling, and multi-agent orchestration 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.