Senior AWS Redshift Data Engineer - Onsite Seattle

Braintrust; Seattle (WA); On-site; USD 193,000 - 238,000; Full time

Job summary

Braintrust is seeking a Senior AWS Redshift Data Engineer for a contract role in Seattle, WA. You will optimize large Redshift environments, support ETL pipelines with Kafka and ECS, and improve BI performance for Looker.

The role focuses on data availability, AI-ready data preparation, and close collaboration with data engineering and BI teams. 7–10 years of experience, US-based, 1099 contract, 35 hours/week, start July, through year-end, USD 140–173/hour.

Qualifications

• 7–10 years of data engineering or related experience.
• Based in United States.
• Experience optimizing large AWS Redshift deployments.
• Experience tuning heavily queried Redshift tables.
• Kafka streams experience; Looker or similar BI platform.
• Python experience; AI-enabled workflows is a plus.

Responsibilities

• Optimize and maintain large-scale AWS Redshift clusters for performance.
• Support ETL pipelines using Kafka and ECS jobs.
• Enhance BI performance and data availability for Looker.
• Prepare data for AI-enabled applications and MCPs.
• Collaborate closely with the data engineering and BI teams.

Skills

Redshift optimization

Kafka streaming

Looker BI

Python scripting

Data warehousing

AI data workflows

Tools

AWS Redshift

Kafka

ECS

Looker

Python

Job description

Braintrust is seeking a Senior AWS Redshift Data Engineer for a contract role in Seattle, WA. You will optimize large Redshift environments, support ETL pipelines with Kafka and ECS, and improve BI performance for Looker.

The role focuses on data availability, AI-ready data preparation, and close collaboration with data engineering and BI teams. 7–10 years of experience, US-based, 1099 contract, 35 hours/week, start July, through year-end, USD 140–173/hour.