Senior AWS Redshift Data Engineer (Contract | 1099)
Amazon Web Services
Analytics
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Business Intelligence
Cloud
Cloud Platforms
Data Analysis
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Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Pipelines
Data Platform
Data Processing
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Data Warehouse
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Elastic Container Service
ETL
Kafka
Redshift
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SQL
Job Description
A contract role for a Senior AWS Redshift Data Engineer at Braintrust, focused on optimizing large-scale Redshift environments and data infrastructure.
Responsibilities
- Optimize and maintain large-scale AWS Redshift clusters and data warehouse performance (60%)
- Improve and support ETL pipelines using Kafka and ECS jobs (30%)
- Enhance BI performance and data availability for reporting tools such as Looker (10%)
- Prepare and expose data for AI-enabled applications and MCPs
- Collaborate closely with the data engineering and BI teams
Requirements
- 7–10 years of experience in data engineering, database administration, or related roles
- Must be based in the United States
- Extensive experience optimizing AWS Redshift clusters, including environments with hundreds of terabytes of data
- Strong experience tuning, repairing, and maintaining heavily queried and frequently updated Redshift tables
- Experience configuring and managing Kafka streams
- Experience with Looker or a similar BI platform
- Familiarity with Python and/or AI-enabled data workflows is a strong plus
Technologies
- AWS Redshift
- Kafka
- ECS
- Looker
- Python
Contract Details
- Contract type: 1099
- Hours per week: 35
Duration
- Through the end of the year, with an expected July start
Location
- Seattle, WA (onsite)
Compensation
- USD 140 - 173 per hour
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