Cloud Data Engineer(Python)

Plano, United States | Posted on 10/02/2026 Work Authorization: US Citizen, Green Card, or GC EADpreferred Locals highly preferred No C2C, 1099, or third-party profiles accepted.We arelooking for aSenior Cloud Data Engineerto 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 strongAWS data engineering and Python developmentskills with experience inSnowflake, Terraform, and CI/CD .ResponsibilitiesDesignand develop scalablecloud data pipelines and data lake solutionsusing AWS.Buildand maintain data processing workflows usingAWS Glue, S3, Lambda, andStep Functions .Implementdata governance, security, and access controls usingAWS Lake Formation .Developautomation and integrations usingPython, Boto3, and AWS APIs .Buildand manage cloud infrastructure usingTerraform .Develop,test, and deploy applications and data pipelines usingCI/CD practices .WorkwithSnowflakeand other modern data platforms to support dataintegration and analytics.Monitor,troubleshoot, and optimize production workloads usingCloudWatch andSplunk .Partnerwith engineers, architects, and stakeholders to deliver reliable andscalable data solutions.Usemodern AI-assisted development tools such asGitHub Copilot, Claude,and agentic workflowsto improve engineering productivity.MinimumQualifications6+years of professional experience in cloud data engineering or a relatedfield.Hands-onexperience developing data solutions onAWS .Strongexperience with:AWSGlueAmazonS3AWSLambdaAWSStep FunctionsAWSLake FormationExperiencewithSnowflake .ExperiencewithTerraformand Infrastructure as Code.ExperiencewithCI/CD , Git/Bitbucket, and Jenkins.Experiencewith software testing, release processes, and production deployments.Strongunderstanding ofdata lake architecture, data pipelines, and cloud dataengineering practices .PreferredQualificationsExperiencewithDatabricks and Apache Spark .ExperiencewithAWS Athena, EMR, or Redshift .ExperiencewithControl-Mor other enterprise scheduling platforms.ExperiencewithAWS CLI and Boto3 .ExperiencewithJava or Scala .ExperiencewithServiceNow .ExperiencewithAWS CloudWatch and Splunk .KnowledgeofSnowflake Horizon CatalogorDatabricks Unity Catalog .ExperienceapplyingAI-assisted development tools , including Copilot, Claude,or agentic workflows.Experiencewith cloud data governance, security, and access management.#J-18808-Ljbffr