Cloud Data Engineer(Python)

Job Title:Senior Cloud Data Engineer

Location:Plano,TX

Work Authorization: US Citizen, Green Card, or GC EADpreferred Locals highly preferred No C2C, 1099, or third-party profiles accepted.

We arelooking for a Senior Cloud Data Engineer to design, develop, andmaintain scalable data platforms and data pipelines on AWS. You will workacross data engineering, cloud infrastructure, automation, and data governanceto deliver reliable and secure solutions at scale.

The idealcandidate combines strong AWS data engineering and Python development skills with experience in Snowflake, Terraform, and CI/CD.

Responsibilities

• Design and develop scalable cloud data pipelines and data lake solutions using AWS.
• Build and maintain data processing workflows using AWS Glue, S3, Lambda, andStep Functions.
• Implement data governance, security, and access controls using AWS Lake Formation.
• Develop automation and integrations using Python, Boto3, and AWS APIs.
• Build and manage cloud infrastructure using Terraform.
• Develop, test, and deploy applications and data pipelines using CI/CD practices.
• Work with Snowflake and other modern data platforms to support data integration and analytics.
• Monitor, troubleshoot, and optimize production workloads using CloudWatch andSplunk.
• Partner with engineers, architects, and stakeholders to deliver reliable and scalable data solutions.
• Use modern AI-assisted development tools such as GitHub Copilot, Claude, and agentic workflows to improve engineering productivity.

MinimumQualifications

• 6+ years of professional experience in cloud data engineering or a related field.
• Hands-on experience developing data solutions on AWS.
• Strong experience with:
• • AWSGlue
  • AmazonS3
  • AWSLambda
  • AWSStep Functions
  • AWSLake Formation
• Strong Python programming skills.
• Experience with Snowflake.
• Experience with Terraform and Infrastructure as Code.
• Experience with CI/CD, Git/Bitbucket, and Jenkins.
• Experience with software testing, release processes, and production deployments.
• Strong understanding of data lake architecture, data pipelines, and cloud data engineering practices.

PreferredQualifications

• Experience with Databricks and Apache Spark.
• Experience with AWS Athena, EMR, or Redshift.
• Experience with Control-M or other enterprise scheduling platforms.
• Experience with AWS CLI and Boto3.
• Experience with Java or Scala.
• Experience with ServiceNow.
• Experience with AWS CloudWatch and Splunk.
• Knowledge of Snowflake Horizon Catalog or Databricks Unity Catalog.
• Experience applying AI-assisted development tools, including Copilot, Claude, or agentic workflows.
• Experience with cloud data governance, security, and access management.