Amazon
Data Engineer II, DSP Analytics
$132K–$179K
Bellevue, WA · Full-time · Posted Oct 27, 2026
- Experience
- 4+ years of data engineering experience; 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Education
- Bachelor's degree in Computer Science, Engineering, or related fields.
About the job
Build and operate scalable data infrastructure and pipelines for DSP analytics, including infrastructure that supports generative AI applications and automated data operations.
What you'll do
- Design data architectures and implement large-scale data pipelines and ETL processes using AWS technologies.
- Resolve system-wide data challenges and establish practices for governance, security, reliability, and maintainability.
- Collaborate with cross-functional teams to deliver data solutions and support analytics and AI applications.
What they ask for
- Experience with data modeling, warehousing, and building ETL pipelines.
- Bachelor's degree in Computer Science, Engineering, or related fields.
- Programming experience with at least one modern language, such as Python, Ruby, Golang, Java, C++, C#, or Rust.
- Demonstrated professional or project use of generative AI tools.
Nice to have
- Experience with AWS technologies, non-relational databases, or data stores.
- Experience building AI agents or multi-agent solutions, or familiarity with agentic AI patterns.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
AWS, Redshift, Oracle, NoSQL, Python, Ruby, Golang, Java
AI focus
Build data infrastructure for GenAI applications and develop agents to automate data operations; professional or project use of generative AI tools is required.
Model-written summary · the original posting is authoritative