AWS Database Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Database Developer on a contract basis, focusing on automation and AWS databases. Key skills required include Python, AWS Cloud Formation, RDS, and Redshift. The position emphasizes experience with AI/ML data pipelines. Pay rate and contract length are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Malvern, PA
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🧠 - Skills detailed
#Aurora #MySQL #"ETL (Extract #Transform #Load)" #Monitoring #Data Modeling #DynamoDB #Lambda (AWS Lambda) #Data Science #AWS (Amazon Web Services) #Python #Data Processing #Databases #Cloud #AWS Glue #PostgreSQL #Amazon RDS (Amazon Relational Database Service) #ML (Machine Learning) #Logging #Security #Scripting #AWS Databases #Compliance #Automation #AI (Artificial Intelligence) #GitHub #Scala #RDS (Amazon Relational Database Service) #AWS Lambda #Amazon Redshift #Data Pipeline #Redshift #Schema Design
Role description
Position Overview
We are seeking a skilled AWS Database Developer to join our team and contribute to building automation pipelines and database solutions that support AI-driven applications. This role requires a balanced expertise in cloud automation (50%) and AWS databases (50%). You will play a key role in developing scalable, automated workflows that improve the accuracy and effectiveness of AI models.
Key Responsibilities
• Design, develop, and maintain automation scripts and pipelines using Python, AWS Cloud Formation, Lambda, and GitHub.
• Manage and optimize AWS database solutions, with a strong focus on RDS and Redshift, and hands-on exposure to DynamoDB.
• Build scalable, automated data workflows that feed structured and unstructured data into AI/ML pipelines.
• Ensure high availability, performance tuning, and cost optimization of AWS databases.
• Collaborate with data scientists and AI engineers to ensure data pipelines meet accuracy and efficiency needs.
• Implement monitoring, logging, and alerting for databases and automation pipelines.
• Apply AWS best practices for security, compliance, and governance across automation and database environments.
Required Skills & Experience
• Automation (50%)
• Proficiency in Python scripting for automation and data processing.
• Strong experience with AWS Cloud Formation for infrastructure-as-code.
• Expertise in AWS Lambda for event-driven automation.
• Hands-on experience with GitHub (CI/CD pipelines).
• AWS Databases (50%)
• Strong experience in Amazon RDS (PostgreSQL, MySQL, or Aurora).
• Expertise in Amazon Redshift for data warehousing.
• Working knowledge of Amazon DynamoDB (nice to have).
• Experience with data modeling, schema design, and query optimization.
Preferred Qualifications
• Experience building data pipelines for AI/ML workloads.
• Knowledge of ETL frameworks, data transformation, and orchestration tools.
• Familiarity with AWS Glue, Step Functions, or Kinesis.
• Strong problem-solving and troubleshooting skills in cloud environments.
Position Overview
We are seeking a skilled AWS Database Developer to join our team and contribute to building automation pipelines and database solutions that support AI-driven applications. This role requires a balanced expertise in cloud automation (50%) and AWS databases (50%). You will play a key role in developing scalable, automated workflows that improve the accuracy and effectiveness of AI models.
Key Responsibilities
• Design, develop, and maintain automation scripts and pipelines using Python, AWS Cloud Formation, Lambda, and GitHub.
• Manage and optimize AWS database solutions, with a strong focus on RDS and Redshift, and hands-on exposure to DynamoDB.
• Build scalable, automated data workflows that feed structured and unstructured data into AI/ML pipelines.
• Ensure high availability, performance tuning, and cost optimization of AWS databases.
• Collaborate with data scientists and AI engineers to ensure data pipelines meet accuracy and efficiency needs.
• Implement monitoring, logging, and alerting for databases and automation pipelines.
• Apply AWS best practices for security, compliance, and governance across automation and database environments.
Required Skills & Experience
• Automation (50%)
• Proficiency in Python scripting for automation and data processing.
• Strong experience with AWS Cloud Formation for infrastructure-as-code.
• Expertise in AWS Lambda for event-driven automation.
• Hands-on experience with GitHub (CI/CD pipelines).
• AWS Databases (50%)
• Strong experience in Amazon RDS (PostgreSQL, MySQL, or Aurora).
• Expertise in Amazon Redshift for data warehousing.
• Working knowledge of Amazon DynamoDB (nice to have).
• Experience with data modeling, schema design, and query optimization.
Preferred Qualifications
• Experience building data pipelines for AI/ML workloads.
• Knowledge of ETL frameworks, data transformation, and orchestration tools.
• Familiarity with AWS Glue, Step Functions, or Kinesis.
• Strong problem-solving and troubleshooting skills in cloud environments.
