AWS Data Engineer – DynamoDB

Alchemy is hiring an experienced AWS Data Engineer to support production data engineering work focused on DynamoDB and AWS-native data pipelines. This onsite role in Juno Beach, FL brings hands-on responsibility for ETL development, pipeline optimization, and end-to-end delivery across multiple AWS services and data warehousing practices.

What you’ll do

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

What you bring

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

Experience (years)

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

Tech stack

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

Location and pay

Juno Beach, FL (in person). $60.00 - $65.00 per hour.