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# AWS Data Engineer - DynamoDB

- **Company:** McClure Engineering Co.
- **Location:** Juno Beach, FL, United States
- **Experience:** Experienced
- **Salary:** $124,800 - $135,200
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Operational Databases, Freeform SQL, Postman, Database Optimization, State Machines, Git, Cloudformation, Pyspark, Infrastructure Automation Frameworks, AWS Glue, AWS Data Analytics, Cloudwatch, Terraform, Data Pipelines, Api Management
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bd468e90304ff6c0

## About the Role

* Build and maintain scalable production data pipelines using Python and PySpark.
 * Develop ETL jobs, crawlers, triggers, and workflows using AWS Glue.
 * 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.
 * Use Git, CI/CD pipelines, and Infrastructure as Code tools such as CloudFormation or Terraform.
 * Leverage AI tools to improve development, automation, and productivity.

Mandatory Requirements

 * 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.

Pay: $60.00 - $65.00 per hour

Experience:

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