Data Engineer II, DSP Analytics

Amazon Inc.; Rockford (IL); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Amazon DSP Analytics is seeking a Data Engineer to design and build data infrastructure supporting GenAI applications for the DSP program, turning ML research into scalable data products that inform decisions and delight customers.

You will lead complex data architectures, implement large-scale AWS pipelines, ensure governance and security, and collaborate with data scientists, economists, and analysts to deliver reliable insights across the organization.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Bachelor's degree in CS, Engineering, or related field.
• Proficiency in Python, Java, or similar languages.
• Experience with Redshift/NoSQL data stores.
• Experience with generative AI tools in projects.

Responsibilities

• Lead and design complex data architectures with scalability and security.
• 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.

Skills

Data modeling

ETL pipelines

Python

SQL

AWS

Generative AI tools

Big data

Education

Bachelor's degree in Computer Science or related field

Tools

Redshift

S3

Glue

EMR

Kinesis

Lambda

IAM

Job description

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

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, you'll 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.

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 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

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.