Data Engineer for Marketing Tech & BI Analytics

Amazon; Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking a data engineer in Seattle, WA to design, build, and operate scalable data pipelines and analytics infrastructure within the Marketing Technology BI domain. You will partner with Data Science, BI, Product, and Finance teams to translate business needs into robust data solutions, leverage AWS Redshift and big data tools, and help enable AI/ML initiatives.

The role emphasizes data modeling, ETL/ELT development, data quality, and scalable architectures to support forecasting,

Qualifications

• 3+ years of data engineering experience.
• 1+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• 1+ years developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience.

Responsibilities

• Own the design, development, testing, deployment, and operation of data pipelines and datasets within an assigned domain.
• Build and maintain scalable ETL/ELT workflows using SQL, Python, AWS services, and big data technologies.
• Operate and improve data infrastructure, including Redshift clusters, data lake tables, orchestration workflows, monitoring, alerting, and data quality controls.
• Improve operational reliability by identifying recurring failures, reducing manual intervention, automating recovery steps, and creating clear runbooks.
• Partner with Data Science, Business Intelligence, Product, Finance, Engineering, Privacy, and Legal stakeholders to translate business and compliance requirements into scalable data solutions.
• Build and operate conversational, self-service, and agentic analytics data products.

Skills

Data engineering

ETL/ELT design

OLAP analytics

Data modeling

SQL

Python

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field

Tools

SQL

Python

AWS

Redshift

Hive

Spark

EMR

Job description

Amazon is seeking a data engineer in Seattle, WA to design, build, and operate scalable data pipelines and analytics infrastructure within the Marketing Technology BI domain. You will partner with Data Science, BI, Product, and Finance teams to translate business needs into robust data solutions, leverage AWS Redshift and big data tools, and help enable AI/ML initiatives.

The role emphasizes data modeling, ETL/ELT development, data quality, and scalable architectures to support forecasting,