Data Engineer: AWS Data Platform & Automation

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

Job summary

Amazon is seeking a Data Engineer in Bellevue, WA to design, implement, and support scalable data infrastructure for Operations Finance S&A. You will build ETL pipelines using Python, Spark, SQL and AWS services, improving data quality and accessibility for analytics and GenAI models.

You will collaborate with Finance, Product, and BI teams to gather requirements, model data, and automate deployments with CDK, CodePipeline, and CloudFormation.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Bachelor's degree in a related field.
• Experience in at least one modern scripting language (Python, Java, Scala, or NodeJS).
• Knowledge of distributed systems as it pertains to data storage and computing.

Responsibilities

• Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda).
• Develop high-quality data architecture and scalable pipelines to support customer reporting needs and analytics infrastructure for internal Finance customers.
• Interface with technology teams to extract, transform, and load data from various sources, ensuring data quality and making trade-offs in design decisions.
• Collaborate with business users, developers, and BI Engineers to deliver on data architecture projects and next-generation financial solutions.
• Actively participate in code reviews, design discussions, and team planning, while improving reporting processes and automating self-service support.
• Identify and implement process improvements to drive innovation and scale existing solutions.

Skills

Data engineering

Data modeling

Python

Scala/Java/NodeJS

Distributed systems

Education

Bachelor's degree

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Airflow

SQL

Job description

Amazon is seeking a Data Engineer in Bellevue, WA to design, implement, and support scalable data infrastructure for Operations Finance S&A. You will build ETL pipelines using Python, Spark, SQL and AWS services, improving data quality and accessibility for analytics and GenAI models.

You will collaborate with Finance, Product, and BI teams to gather requirements, model data, and automate deployments with CDK, CodePipeline, and CloudFormation.