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# Cloud Data Engineer (AWS & Snowflake)

- **Company:** The Judge Group
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $145,600 - $156,000
- **Contract:** Contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Cloud Database, Cloud Engineering, Data Governance, Extract Transform Load (ETL), Programming Tools, Python (Programming Language), Meta-Data Management, Productivity Software, Microsoft Copilot, Cloud Platform System, Snowflake, Apache Spark, AWS Lambda, Infrastructure as Code (IaC), Agentic-AI, Git, Data Lakes, AI Platforms, Deployment Automation, AWS Lake Formation, AWS Glue, Data Analytics, AWS Data Analytics, Bitbucket, Claude, Cloudwatch, Terraform, Splunk, Data Pipelines, Jenkins, Databricks, Control M
- **Published:** October 29, 2026
- **Apply:** https://www.dice.com/job-detail/cbe1762a-24dd-495d-862d-da3912ae9cb2

## About the Role

* 6+ years of Cloud Data Engineering experience.

Strong expertise in:

 * AWS Glue
 * AWS S3
 * AWS Lambda
 * AWS Step Functions
 * AWS Lake Formation
 * Snowflake
 * Python
 * Terraform
 * CI/CD Pipelines

 * Experience with AWS data lake and cloud-native architectures.
 * Hands-on experience with Infrastructure as Code (IaC).
 * Strong understanding of data movement, ETL/ELT, and cloud analytics frameworks.
 * Experience with Git/Bitbucket, Jenkins, CloudWatch, and Splunk.
 * Familiarity with AI platforms such as Copilot, Claude, and Agentic workflows.

Preferred Qualifications

 * Databricks experience.
 * Snowflake Horizon Catalog experience.
 * Databricks Unity Catalog experience.
 * Experience with Control-M scheduling.
 * Knowledge of Java or Scala.
 * Experience with EMR, Athena, Redshift, and Spark.

## Description

We are seeking a highly motivated Cloud Data Engineer to design, build, and optimize scalable cloud-based data platforms. The ideal candidate will have strong expertise in AWS data lake technologies, Snowflake, Terraform, Python, and CI/CD automation. This role requires hands-on development experience, cloud-native engineering skills, and familiarity with modern AI productivity tools such as Copilot, Claude, and Agentic workflows., * Design and implement scalable data engineering solutions using AWS cloud services.

 * Build and maintain data pipelines using AWS Glue, Lambda, Step Functions, and Lake Formation.
 * Develop automation solutions using Python and Infrastructure-as-Code (Terraform).
 * Manage enterprise data storage and analytics solutions leveraging Snowflake and AWS services.
 * Implement CI/CD pipelines and deployment automation using Git, Bitbucket, Jenkins, and related tools.
 * Monitor application and data pipeline performance through CloudWatch and Splunk.
 * Collaborate with cross-functional teams to deliver reliable, secure, and scalable data solutions.
 * Support data governance, cataloging, and metadata management initiatives.
 * Leverage AI-powered developer tools to improve engineering productivity and delivery efficiency.