Senior AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AWS Data Engineer in McKinney, TX, offering a 12+ month contract at a hybrid work location. Requires 8+ years of experience, a Master's degree, and expertise in AWS tools, SQL, Python, and ETL development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
McKinney, TX
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Computer Science #SNS (Simple Notification Service) #Databases #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Data Processing #SQL Queries #Redshift #Spark (Apache Spark) #Python #Scala #Data Pipeline #PySpark #Cloud #Pandas #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Engineering
Role description
Senior AWS Data Engineer
McKinney, TX
12+ Months Contract
Hybrid 3 days
F2F Interview
• We’re hiring a Senior AWS Data Engineer with 8+ years of experience and a Master’s degree in Computer Science or related field.
• Atleast 5+ Years in Build and optimize robust data pipelines using SQL, Window Functions, Stored Procedures, and Python, incorporating multithreading for enhanced efficiency.
• Utilize 3+ years of experience with AWS tools, including Glue ETL Jobs, Lambda, S3, and Redshift, to manage large-scale data workflows.
• Extensive experience with AWS services, particularly Redshift (cluster management, cost optimization) and Lambda (serverless workflows).
• Must excel in ETL development, building scalable pipelines for structured/semi-structured data from diverse sources like APIs and databases.
• Expert in writing and optimizing complex SQL queries, including window functions, for high-volume data processing.
• Proficient in Python (boto3, pandas, UDFs) and PySpark for dynamic data frames and pipeline orchestration.
• Strong expertise in CDK for infrastructure-as-code to deploy secure, scalable systems.
• Experience in performance tuning and automating failure notifications (CloudWatch, SNS) is required.
• Seeking self-driven professionals to architect production-ready data pipelines. Join us to drive innovation in cloud-native data engineering!
Senior AWS Data Engineer
McKinney, TX
12+ Months Contract
Hybrid 3 days
F2F Interview
• We’re hiring a Senior AWS Data Engineer with 8+ years of experience and a Master’s degree in Computer Science or related field.
• Atleast 5+ Years in Build and optimize robust data pipelines using SQL, Window Functions, Stored Procedures, and Python, incorporating multithreading for enhanced efficiency.
• Utilize 3+ years of experience with AWS tools, including Glue ETL Jobs, Lambda, S3, and Redshift, to manage large-scale data workflows.
• Extensive experience with AWS services, particularly Redshift (cluster management, cost optimization) and Lambda (serverless workflows).
• Must excel in ETL development, building scalable pipelines for structured/semi-structured data from diverse sources like APIs and databases.
• Expert in writing and optimizing complex SQL queries, including window functions, for high-volume data processing.
• Proficient in Python (boto3, pandas, UDFs) and PySpark for dynamic data frames and pipeline orchestration.
• Strong expertise in CDK for infrastructure-as-code to deploy secure, scalable systems.
• Experience in performance tuning and automating failure notifications (CloudWatch, SNS) is required.
• Seeking self-driven professionals to architect production-ready data pipelines. Join us to drive innovation in cloud-native data engineering!
