AWS Data Engineer – DynamoDB

Alchemy is seeking an experienced AWS Data Engineer with deep, hands-on capability across Python, PySpark, AWS Glue, and DynamoDB. This onsite role in Juno Beach focuses on building and optimizing production-grade data pipelines, including ETL development and DynamoDB performance and modeling.

Key Responsibilities

• Build and maintain scalable production data pipelines using Python and PySpark.
• Develop ETL jobs, crawlers, triggers, and workflows with AWS Glue.
• Design and optimize DynamoDB data models, including capacity, streams, and performance.
• Collaborate across AWS services such as S3, Lambda, Step Functions, CloudWatch, IAM, KMS, and Kinesis.
• Use Postman for API testing and team collaboration.
• Write complex SQL and apply data warehousing principles.
• Apply Git, CI/CD pipelines, and Infrastructure as Code tooling such as CloudFormation or Terraform.
• Leverage AI tools to support development, automation, and productivity improvements.

Requirements

• 10+ years of relevant IT and data engineering experience.
• Strong, hands-on experience with Python/PySpark, AWS Glue, and DynamoDB.
• Proven experience delivering production data pipelines.

Technical Skills

Python, PySpark, AWS Glue, DynamoDB, ETL, S3, Lambda, Step Functions, CloudWatch, IAM, KMS, Kinesis, Postman, SQL, Git, CI/CD, Infrastructure as Code, CloudFormation, Terraform.

Compensation

USD 60.00 to 65.00 per hour.

Experience Expectations

• IT/Data Engineering: 10 years (Required)
• DynamoDB: 4 years (Required)
• Python and PySpark: 4 years (Preferred)

Work Location

In person in Juno Beach, FL.