Data Engineer - AWS Data Pipelines for Prime Video

Prime Video & Amazon MGM Studios; Seattle (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 in Seattle is seeking a Data Engineer to design scalable data pipelines and data products that support Prime Video Commerce analytics. You will work in a large data warehouse environment, leveraging AWS tools to ingest data from multiple teams and deliver data-driven insights.

The role focuses on building complex data pipelines, ensuring data quality, and enabling downstream teams with reliable datasets for reporting, ML models, and ad-hoc requests.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.

Responsibilities

• Design complex data pipelines and models powering subscription, transaction, and device registration datasets.
• Deliver scalable data solutions on native AWS infrastructure.
• Develop data quality validation frameworks and monitoring solutions ensuring data integrity and timeliness.
• Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes.
• Create robust orchestration and monitoring for workflows with complex dependencies.
• Collaborate with cross-functional teams to onboard new data sources.

Skills

Data engineering

Data modeling

ETL pipelines

SQL

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Job description

Amazon.com Services LLC in Seattle is seeking a Data Engineer to design scalable data pipelines and data products that support Prime Video Commerce analytics. You will work in a large data warehouse environment, leveraging AWS tools to ingest data from multiple teams and deliver data-driven insights.

The role focuses on building complex data pipelines, ensuring data quality, and enabling downstream teams with reliable datasets for reporting, ML models, and ad-hoc requests.