Cloud Data Engineer(Python)

Sci Solutions Global•Plano, TX

2d•Onsite

About The Position

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.

Requirements

6+ years of professional experience in cloud data engineering or a related field.
Hands-on experience developing data solutions on AWS.
Strong experience with: AWS Glue, Amazon S3, AWS Lambda, AWS Step Functions, AWS Lake 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.

Nice To Haves

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.

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, and Step 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 and Splunk.
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.