Job description
We are looking for a Senior AWS Redshift Data Engineer to join our data team on a full-time 1099 contract through the end of the year. You'll work alongside a team of five data professionals, with a primary focus on optimizing our AWS Redshift environment and improving the performance of our data infrastructure.
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Optimize and maintain large-scale AWS Redshift clusters and data warehouse performance (60%)
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Improve and support ETL pipelines using Kafka and ECS jobs (30%)
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Enhance BI performance and data availability for reporting tools such as Looker (10%)
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Prepare and expose data for AI-enabled applications and MCPs
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Collaborate closely with the data engineering and BI teams
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7–10 years of experience in data engineering, database administration, or related roles
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Must be based in the United States
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Extensive experience optimizing AWS Redshift clusters, including environments with hundreds of terabytes of data
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Strong experience tuning, repairing, and maintaining heavily queried and frequently updated Redshift tables
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Experience configuring and managing Kafka streams
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Experience with Looker or a similar BI platform
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Familiarity with Python and/or AI-enabled data workflows is a strong plus
Contract Type: 1099 (35 hours/ week)
Duration: Through the end of the year (with an expected July start)
