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Job Description

Location: Austin, TX (onsite) β€’ Salary: USD 140 - 173 per hour β€’ Contract: 1099 through year-end β€’ Experience required: 7+ years

Responsibilities

  • Optimize and maintain large-scale AWS Redshift clusters and data warehouse performance.
  • Improve and support ETL pipelines using Kafka and ECS jobs.
  • Enhance BI performance and data availability for reporting tools such as Looker.
  • 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
  • Amazon ECS
  • Looker
  • Python

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