Senior Data Engineer, DSP Analytics & GenAI

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is hiring a Data Engineer to design and implement scalable data architectures and end-to-end data pipelines for DSP Analytics. You will work with data scientists, economists, and analysts to deliver AI-powered insights and reliable data platforms powering GenAI applications.

The role emphasizes building auditable, secure data solutions, collaborating across teams, and driving operational excellence in a high-velocity environment.

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 field.
• Proficient in Python, Ruby, Golang, Java, C++, C#, or Rust.
• 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience using generative AI tools in professional settings.

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.

Skills

Data engineering

Data modeling

ETL pipelines

Python

SQL

Big data

Education

Bachelor's degree in Computer Science or Engineering

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

NoSQL

Job description

Amazon.com Services LLC is hiring a Data Engineer to design and implement scalable data architectures and end-to-end data pipelines for DSP Analytics. You will work with data scientists, economists, and analysts to deliver AI-powered insights and reliable data platforms powering GenAI applications.

The role emphasizes building auditable, secure data solutions, collaborating across teams, and driving operational excellence in a high-velocity environment.