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Job Description

Braintrust is seeking a Senior AWS Redshift Data Engineer to join on a full-time 1099 contract through year-end. This onsite role in Austin, TX centers on optimizing the AWS Redshift environment and the broader data infrastructure to support scalable analytics and AI-enabled workflows. The successful candidate will collaborate closely with data engineering and BI teams to improve data availability and reporting performance.

Responsibilities

  • Tune and maintain large-scale AWS Redshift clusters and data warehouses to sustain high performance and reliability
  • Develop and support ETL pipelines using Kafka streams and ECS-based jobs
  • Enhance BI performance and data accessibility for Looker and other reporting tools
  • Prepare data assets for AI-enabled applications and MCPs
  • Work collaboratively with data engineering and BI teams to align data flows and analytics goals

Requirements

  • Seven to ten years of experience in data engineering, database administration, or related roles
  • Based in the United States
  • Extensive experience optimizing AWS Redshift clusters, including environments with hundreds of terabytes of data
  • Strong track record 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
  • Amazon ECS
  • Looker
  • Python

Compensation

  • Hourly rate: USD 140 - 173

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