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Cloud Data Engineer (AWS & Snowflake)

The Judge Group
Plano, TX, United States
14 days ago
Apply on www.dice.com
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$145,600 - $156,000
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

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
+25 more
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

Job 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.

Requirements

  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
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