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