

Sr. AWS Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. AWS Data Engineer with a 12-month contract, offering $105k-$115k salary. Key skills include AWS Glue, PySpark, AWS DynamoDB, and Snowflake. Requires 10+ years of experience and a Bachelor's degree in Computer Science or related field.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
522.7272727273
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ποΈ - Date discovered
August 1, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Pipeline #Schema Design #Snowflake #DynamoDB #Data Warehouse #Data Integrity #AWS Glue #Automation #Data Processing #Data Modeling #Compliance #Terraform #Spark (Apache Spark) #Data Science #PySpark #AWS (Amazon Web Services) #Python #Batch #Security #Data Engineering #Scala #IAM (Identity and Access Management) #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Storage #Computer Science #Data Storage #Lambda (AWS Lambda)
Role description
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Title: Sr. AWS Data Engineer
Location: 100% remote
Duration: 12 months contract
Must have: 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. data modeling, schema design & data warehouse concepts. Python, CI/CD practices and infrastructure-as-code tools such as Terraform is a plus. Excellent communication and problem-solving skillsβ¦
Responsibilities:
β’ Collaborate with cross-functional teams including Data Scientists, Analysts, and Engineers to gather data requirements and build scalable data solutions.
β’ Design, develop, and maintain complex ETL pipelines using AWS Glue and PySpark, ensuring efficient data processing across batch and streaming workloads.
β’ Integrate and manage data storage and retrieval using AWS DynamoDB and Snowflake, optimizing for performance and scalability.
β’ Ensure data integrity, quality, and security across data pipelines, applying best practices for encryption, IAM, and compliance.
β’ Monitor and troubleshoot pipeline issues, continuously optimizing for cost and performance across AWS services.
β’ Stay current with advancements in AWS Glue, PySpark, and data infrastructure tools, and recommend improvements where applicable.
Experience / Minimum Requirements:
β’ 10+ years of experience as a Data Engineer, with strong hands-on expertise in AWS Glue, PySpark, AWS DynamoDB, and Snowflake.
β’ Deep understanding of Spark architecture, distributed processing, and performance tuning techniques.
β’ Strong grasp of data modeling, schema design, and data warehouse concepts.
β’ Experience with AWS data ecosystem including S3, Lambda and Glue Catalog.
β’ Proficiency in Python (PySpark) for data transformation and automation tasks.
β’ Familiarity with CI/CD practices and infrastructure-as-code tools such as Terraform is a plus.
β’ Excellent communication and problem-solving skills, with the ability to work independently and in a team environment.
Required: Bachelor's degree in Computer Science or a related field
This role is open to W2 or those seeking Corp-Corp employment. The salary range for this role is 105k-115k. For corp-Corp rates please contact the recruiter. In addition to other benefits, Accion Labs offers a comprehensive benefits package, with Accion covering 65% of the medical, dental, and Vision Premiums for employees, their spouses, and dependent children enrolling in the Accion-provided plans.