Data Engineer II, DSP Analytics — GenAI Pipelines

Amazon Inc.; Bellevue (WA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon.com Services LLC in Bellevue, WA is seeking a Data Engineer to design scalable data architectures and build real-time and batch pipelines that power GenAI-enabled analytics for the DSP program.

You will collaborate with data scientists, economists, and analysts to turn ML research into scalable products, ensuring governance, security, and auditable data solutions across the organization. This role requires strong AWS data engineering experience.

Qualifications

• 4+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Bachelor's degree in Computer Science, Engineering, or related fields.
• Experience programming with Python, Java, C++, or similar languages.
• 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Demonstrated use of generative AI tools in a professional or project setting.

Responsibilities

• Lead and design complex data architectures for 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.

Skills

Data engineering

Data modeling

ETL pipelines

Programming languages

Generative AI tools

Education

Bachelor's degree in CS/Engineering

Tools

AWS Redshift

AWS S3

Kinesis

NoSQL databases

Job description

Amazon.com Services LLC in Bellevue, WA is seeking a Data Engineer to design scalable data architectures and build real-time and batch pipelines that power GenAI-enabled analytics for the DSP program.

You will collaborate with data scientists, economists, and analysts to turn ML research into scalable products, ensuring governance, security, and auditable data solutions across the organization. This role requires strong AWS data engineering experience.