Cloud Data Engineer; Python Job Plano area,Texas USA,Software Development

Position: 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 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
.

Responsibilities

Designand develop scalable cloud data pipelines and data lake solutions using AWS.
Buildand 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
.
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 data integration and analytics.
Monitor,troubleshoot, and optimize production workloads using Cloud Watch and Splunk
.
Partner with engineers, architects, and stakeholders to deliver reliable andscalable data solutions.
Usemodern AI-assisted development tools such as Git Hub Copilot, Claude,and agentic workflows to improve engineering productivity.

Minimum Qualifications

6+years of professional experience in cloud data engineering or a related field.
Hands-onexperience developing data solutions on AWS
.
Strong experience with:
AWSGlue
Amazon S3
AWSLambda
AWSStep Functions
AWSLake Formation
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
.

Preferred Qualifications

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 Service Now
.
Experience with AWS Cloud Watch 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.