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. What You'll Do 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 Required Qualifications 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 Contract Type: 1099 (35 hours/ week) Duration: Through the end of the year (with an expected July start) Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.
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. What You'll Do 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 Required Qualifications 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 Contract Type: 1099 (35 hours/ week) Duration: Through the end of the year (with an expected July start) Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.
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