Cloud Data Engineer(Python)

Job DescriptionJob Title: Senior Cloud Data EngineerLocation: Plano, TXWork Authorization: US Citizen, Green Card, or GC EAD preferredLocals highly preferredNo C2C, 1099, or third-party profiles accepted.We are looking for a Senior Cloud Data Engineer to design, develop, and maintain scalable data platforms and data pipelines on AWS. You will work across data engineering, cloud infrastructure, automation, and data governance to deliver reliable and secure solutions at scale.The ideal candidate combines strong AWS data engineering and Python development skills with experience in Snowflake, Terraform, and CI/CD.ResponsibilitiesDesignand develop scalable cloud data pipelines and data lake solutions using AWS.Buildand maintain data processing workflows using AWS Glue, S3, Lambda, andStep Functions.Implementdata governance, security, and access controls using AWS Lake Formation.Developautomation and integrations using Python, Boto3, and AWS APIs.Buildand manage cloud infrastructure using Terraform.Develop,test, and deploy applications and data pipelines using CI/CD practices.Workwith Snowflake and other modern data platforms to support dataintegration and analytics.Monitor,troubleshoot, and optimize production workloads using CloudWatch andSplunk.Partnerwith engineers, architects, and stakeholders to deliver reliable andscalable data solutions.Usemodern AI-assisted development tools such as GitHub Copilot, Claude,and agentic workflows to improve engineering productivity.Minimum Qualifications6+years of professional experience in cloud data engineering or a relatedfield.Hands-onexperience developing data solutions on AWS.Strongexperience with:AWSGlueAmazonS3AWSLambdaAWSStep FunctionsAWSLake FormationStrong Python programming skills.Experiencewith Snowflake.Experiencewith Terraform and Infrastructure as Code.Experiencewith CI/CD, Git/Bitbucket, and Jenkins.Experiencewith software testing, release processes, and production deployments.Strongunderstanding of data lake architecture, data pipelines, and cloud dataengineering practices.Preferred QualificationsExperiencewith Databricks and Apache Spark.Experiencewith AWS Athena, EMR, or Redshift.Experiencewith Control-M or other enterprise scheduling platforms.Experiencewith AWS CLI and Boto3.Experiencewith Java or Scala.Experiencewith ServiceNow.Experiencewith AWS CloudWatch and Splunk.Knowledgeof Snowflake Horizon Catalog or Databricks Unity Catalog.Experienceapplying AI-assisted development tools, including Copilot, Claude,or agentic workflows.Experiencewith cloud data governance, security, and access management.