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Closed on August 18, 2026.
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Senior AWS Redshift Data Engineer (Contract | 1099)
Amazon Web Services
Analytics
Cloud
Cloud Platforms
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
ETL
Redshift
Reporting and Analytics
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Job Description
Location: Austin, TX (onsite) • Salary: USD 140 - 173 per hour • Contract: 1099 through year-end • 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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