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 to Amazons Delivery Service Partner (DSP) program tackling modern data challenges by combining traditional engineering practices with transformative analytics and Generative AI.

Youll help design and build the next generation of data infrastructure powering GenAI applications and develop agents that automate the end-to-end data operations lifecycle. We are a team of Data Engineers working closely with Data Scientists Economists and Analysts turning machine learning and AI research into scalable products that delight customers worldwide.

Youre passionate about technology strongly biased toward going deep to find insights and driven to build scalable analytical platforms. Youre relentless about quality and reliability and comfortable communicating across different levels of leadership. If that sounds like you wed love to talk.

Key job responsibilities
Lead and design complex data architectures ensuring scalability security and alignment with business objectives
Drive implementation of large-scale data pipelines and ETL processes using AWS technologies
Identify and resolve system-wide data challenges including performance bottlenecks and architectural deficiencies
Establish data engineering best practices including governance security standards and operational excellence
Ensure data solutions are auditable accessible and maintainable across the organization
Collaborate with cross-functional teams to deliver innovative data solutions


About the team
We are the Amazon DSP Analytics team supporting all business pillars across the DSP organization horizontally with the vision to enable data- insights- and science-driven decision-making. We are an exceptionally talented and fun-loving team. Here youll have the opportunity to dive deep into complex business and data problems drive large-scale technical solutions and raise the bar for operational excellence. We love sharing ideas and learning from each other and we believe in using those ideas to disrupt the status quo.

- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Bachelors 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

- 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

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