Intone
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 7+ years of experience, focusing on AWS services, Databricks, Python, and SQL. Contract length is unspecified, with a competitive pay rate. Key skills include ETL processes, CI/CD, and data quality compliance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Los Angeles Metropolitan Area
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🧠 - Skills detailed
#Databricks #Spark (Apache Spark) #SQL (Structured Query Language) #Apache Spark #Deployment #Data Engineering #Cloud #AWS (Amazon Web Services) #Security #Redshift #Scala #Compliance #Data Quality #GIT #Agile #Data Pipeline #Python #S3 (Amazon Simple Storage Service) #AWS Glue #"ETL (Extract #Transform #Load)"
Role description
Position Overview
We are hiring a Data Engineer with 7+ years of experience in cloud data engineering. The ideal candidate will have expertise in AWS services, Databricks, Python, and SQL to build scalable data pipelines and support enterprise analytics.
Responsibilities
• Develop and maintain AWS-based data pipelines and ETL processes.
• Design scalable data solutions using Databricks and Python.
• Implement CI/CD pipelines for automated deployments.
• Optimize data workflows for performance and reliability.
• Collaborate with business and technical teams to deliver data-driven solutions.
• Ensure data quality, security, and compliance.
Required Skills
• 6+ years of Data Engineering experience.
• Strong hands-on experience with AWS, Databricks, Python, SQL, and Apache Spark.
• Experience with AWS Glue, S3, Redshift, and modern data platforms.
• Knowledge of CI/CD tools, Git, and Agile methodologies.
Position Overview
We are hiring a Data Engineer with 7+ years of experience in cloud data engineering. The ideal candidate will have expertise in AWS services, Databricks, Python, and SQL to build scalable data pipelines and support enterprise analytics.
Responsibilities
• Develop and maintain AWS-based data pipelines and ETL processes.
• Design scalable data solutions using Databricks and Python.
• Implement CI/CD pipelines for automated deployments.
• Optimize data workflows for performance and reliability.
• Collaborate with business and technical teams to deliver data-driven solutions.
• Ensure data quality, security, and compliance.
Required Skills
• 6+ years of Data Engineering experience.
• Strong hands-on experience with AWS, Databricks, Python, SQL, and Apache Spark.
• Experience with AWS Glue, S3, Redshift, and modern data platforms.
• Knowledge of CI/CD tools, Git, and Agile methodologies.
