Data Engineer II, DSP Analytics

About the role

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

You'll 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.

You're passionate about technology, strongly biased toward going deep to find insights, and driven to build scalable analytical platforms. You're relentless about quality and reliability, and comfortable communicating across different levels of leadership. If that sounds like you, we'd 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

Basic Qualifications

• 4+ 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
• 4+ 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 Qualifications

• 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

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually