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Job Description

Senior AWS Redshift Data Engineer on a full-time 1099 contract through the end of the year, based in Austin, TX, with an hourly rate of USD 140 - 173.

Responsibilities

  • Lead optimization and ongoing maintenance of large-scale AWS Redshift clusters to ensure robust data warehouse performance and scalable queries (60%)
  • Enhance and support ETL pipelines, leveraging Kafka streaming and ECS-based jobs to guarantee timely data delivery and reliability (30%)
  • Improve BI performance and data availability for reporting tools, including Looker, to support analytics needs (10%)
  • Prepare data assets for AI-enabled applications and MCPs to enable AI workflows
  • Collaborate closely with the data engineering and BI teams to align data strategies and delivery

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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