This position is no longer accepting applications
Closed on July 17, 2026.
This role is filled — get an email when new Data Processing roles open on EngineerJobs.io:
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
View similar jobs
Get alerted when similar jobs are posted — set up a New Data Processing jobs on EngineerJobs.io alert.
See other roles at Amazon Web Services, Inc..
Job Description
Onsite Data Engineer role in Seattle, WA with Amazon Web Services, Inc., offering a salary range of USD 132,100 to 178,800 per year.
Responsibilities
- Design, implement, and support a scalable data platform that enables ad-hoc access to large, diverse datasets for analytics and reporting.
- Collaborate with cross-functional technology teams to extract, transform, and load data from numerous sources using SQL, ensuring data quality and timely availability for stakeholders.
- Build robust and scalable ETL pipelines with SQL, Python, and AWS services such as Data Pipelines and Glue, emphasizing reliability and maintainability.
- Implement data structures following best practices in data modeling, ETL/ELT processes, and SQL/Redshift to support efficient BI and analytics.
- Interface with business customers to gather requirements and deliver complete reporting solutions, including documentation and data lineage.
- Produce high-quality datasets to support business analysts and customer reporting needs, including validation and versioning.
- Continuously improve reporting and analytics workflows, automating self-service capabilities for customers and contributing to platform roadmap.
Requirements
- Bachelor's degree required
- 3+ years of data engineering experience
- 2+ years designing and operating large-scale BI data structures using ETL/ELT processes
- 2+ years applying OLAP technologies to BI analytics data structures
- 2+ years performing data modeling for BI analytics
- 2+ years SQL development for BI analytics
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)