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Closed on July 17, 2026.
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Data Engineer
Amazon Emr
Analytics
AWS
Aws Glue
Business Analytics
Cloud
Cloud Operations
Data
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
ETL
Firehose
Information Technology (IT)
Reporting and Analytics
SQL
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Job Description
Amazon Web Services seeks a Data Engineer to design, implement, and operate a scalable data warehouse and reporting platform that integrates multiple data sources and builds ETL pipelines to enable data-driven decision making for AWS Marketing.
Job Details
- Location: Seattle, WA (onsite)
- Salary: USD 132,100 - 178,800 per yearly
- Education: Bachelor's degree
- Minimum Experience: 2 years
Responsibilities
- Design, implement, and support a platform providing ad-hoc access to large datasets
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
- Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue
- Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift
- Interface with business customers, gathering requirements and delivering complete reporting solutions
- Build and deliver high quality datasets to support business analyst and customer reporting needs
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Requirements
- Bachelor's degree
- 3+ years of data engineering experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
Technologies
- SQL
- Python
- AWS Data Pipelines
- AWS Glue
- Redshift
- S3
- EMR
- Kinesis
- FireHose
- Lambda
- IAM
Benefits
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
- Sign-on payments and restricted stock units (RSUs)