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Senior Cloud Data Engineer – Python + AWS

SCI SOLUTIONS GLOBAL Plano, Texas, United States · $135K/yr

IT Services and IT Consulting · 11-50 employees

6 d ago
python Senior (5-10 yrs) Contractor United States
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About the role

Design, build, and maintain scalable AWS data platforms, data lakes, and pipelines using services such as Glue, S3, Lambda, and Step Functions. Automate and secure infrastructure and workflows, deploy through CI/CD, and monitor and optimize production workloads while collaborating with stakeholders.

What they look for

AWS Python Snowflake Terraform AWS Glue Amazon S3 AWS Lambda AWS Step Functions AWS Lake Formation Boto3 CI/CD Jenkins Git Bitbucket Data Lake Architecture CloudWatch

Requirements

Requires at least six years of professional experience in cloud data engineering or a related field, hands-on AWS data engineering experience, and strong Python skills. Candidates should also have experience with Snowflake, Terraform, CI/CD, Git or Bitbucket, Jenkins, software testing, production deployments, and data lake architecture.

Full description

Job Title: Senior Cloud Data Engineer – Python + AWS

Location: Plano, TX (100% onsite)

USC/GC/GC EAD Only- W2 Requirement

Note: No third party/C2C or 1099

Job Description

We are seeking a Senior Cloud Data Engineer to design, develop, and maintain scalable data platforms and pipelines on AWS.

The ideal candidate will have strong AWS, Python, Snowflake, Terraform, and CI/CD experience, along with a solid understanding of cloud data engineering, data lakes, automation, security, and governance.

Responsibilities

  • Design and develop scalable AWS data pipelines and data lake solutions.
  • Build 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 data pipelines using CI/CD practices.
  • Work with Snowflake and modern data platforms.
  • Monitor, troubleshoot, and optimize production workloads using CloudWatch and Splunk.
  • Collaborate with engineers, architects, and stakeholders.
  • Utilize AI-assisted development tools such as GitHub Copilot, Claude, and agentic workflows.

Required Qualifications

  • 6+ years of professional experience in cloud data engineering or a related field.
  • Hands-on AWS data engineering experience.
  • Strong experience with:
  • AWS Glue
  • Amazon S3
  • AWS Lambda
  • AWS Step Functions
  • AWS Lake Formation
  • Strong Python skills.
  • Experience with Snowflake.
  • Experience with Terraform / 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 and cloud data pipelines.

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