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This role is for an AWS Databricks Engineer with 12+ years of experience, located in Chicago, IL. It is a contract position paying $50.00 - $55.00 per hour, requiring expertise in AWS, Databricks, Delta Lake, Python, and SQL.
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Job Details
Location:
Chicago, IL (On-site) Duration:
Contract Rate:
$50.00 - $55.00 per hour Posting Date:
January 4, 2026 Job Responsibilities
Develop and maintain large-scale, enterprise-grade data platforms and multi-zone Lakehouse architectures using AWS big-data stack and Databricks Lakehouse. Optimize Spark performance and implement best practices. Design and implement Delta Lake internals for data reliability. Create and maintain data models for Customer 360 / MDM. Ensure data quality and observability across the data pipeline. Qualifications
12+ years of experience in data engineering, cloud architecture, or analytics platforms. Strong expertise in AWS big-data stack and Databricks Lakehouse. Hands‑on experience building enterprise-grade data platforms and multi-zone Lakehouse architectures. Deep knowledge of Spark optimization, Delta Lake internals, data modeling for Customer 360/MDM, and data quality & observability. Proficiency in Python, PySpark, and SQL. Contact Information
Email:
andrew@shaktechcorp.com Company:
SHAKTECH CORP Address:
41880 RESTFUL TER, ALDIE, VA 20105 Phone:
+1 925-209-2684 85 Great Portland Street, London, England, W1W 7LT
#J-18808-Ljbffr
Location:
Chicago, IL (On-site) Duration:
Contract Rate:
$50.00 - $55.00 per hour Posting Date:
January 4, 2026 Job Responsibilities
Develop and maintain large-scale, enterprise-grade data platforms and multi-zone Lakehouse architectures using AWS big-data stack and Databricks Lakehouse. Optimize Spark performance and implement best practices. Design and implement Delta Lake internals for data reliability. Create and maintain data models for Customer 360 / MDM. Ensure data quality and observability across the data pipeline. Qualifications
12+ years of experience in data engineering, cloud architecture, or analytics platforms. Strong expertise in AWS big-data stack and Databricks Lakehouse. Hands‑on experience building enterprise-grade data platforms and multi-zone Lakehouse architectures. Deep knowledge of Spark optimization, Delta Lake internals, data modeling for Customer 360/MDM, and data quality & observability. Proficiency in Python, PySpark, and SQL. Contact Information
Email:
andrew@shaktechcorp.com Company:
SHAKTECH CORP Address:
41880 RESTFUL TER, ALDIE, VA 20105 Phone:
+1 925-209-2684 85 Great Portland Street, London, England, W1W 7LT
#J-18808-Ljbffr