Cloud Data Engineer (AWS & Snowflake)

Location: Plano, TX Salary: $70.00 USD Hourly - $75.00 USD Hourly Description:
Cloud Data Engineer (AWS & Snowflake)
Location: Plano, TX
Duration: 7+ Months Contract TO Perm
Interview Process: One Round Zoom Interview (Coding Assessment may be required)
About the Role
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.
Responsibilities

• 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.

Required Qualifications

• 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.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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Contact:
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