Sr. AWS Data Engineer-12 Months Contract-Remote opportunity-Direct Customer
Compensation
$120K - 160K a year
Responsibilities
Design, develop, and optimize data pipelines and architectures using AWS Glue, PySpark, and Snowflake in a distributed environment.
Requirements
8+ years as a Data Engineer with strong AWS Glue, PySpark, DynamoDB, Snowflake expertise, and knowledge of Spark architecture and data warehousing.
Full Description
Our direct Client is looking for Sr. AWS Data Engineer-12 Months Contract-Remote opportunity. Primary Skills : Spark (using PySpark) , AWS Glue , AWS DynamoDB, Snowflake Experience / Minimum Requirements: • 8+ years of experience as a Data Engineer, with strong hands-on expertise in AWS Glue, PySpark, AWS DynamoDB, and Snowflake. • Deep understanding of Spark architecture, distributed processing, and performance tuning techniques. • Strong grasp of data modeling, schema design, and data warehouse concepts. • Experience with AWS data ecosystem including S3, Lambda and Glue Catalog. • Proficiency in Python (PySpark) for data transformation and automation tasks. • Familiarity with CI/CD practices and infrastructure-as-code tools such as Terraform is a plus. • Excellent communication and problem-solving skills, with the ability to work independently and in a team environment.
This job posting was last updated on 9/23/2025
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