Senior Cloud Data Engineer – Python + AWS

Posted One Month Ago
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Plano, TX, USA
In-Office
Senior level
Information Technology • Software • Consulting
The Role
Designs, develops, and maintains scalable AWS data platforms, data lakes, and pipelines. Builds workflows with Glue, S3, Lambda, and Step Functions; implements governance and access controls through Lake Formation; automates infrastructure with Terraform; and develops Python and Boto3 integrations. Manages Snowflake platforms, CI/CD deployments, testing, monitoring, troubleshooting, and production optimization using CloudWatch and Splunk. Collaborates with engineering and architecture stakeholders while using AI-assisted development tools.
Summary Generated by Built In

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.



Skills Required

  • 6+ years of professional experience in cloud data engineering or a related field
  • Hands-on AWS data engineering experience
  • Experience with AWS Glue
  • Experience with Amazon S3
  • Experience with AWS Lambda
  • Experience with AWS Step Functions
  • Experience with AWS Lake Formation
  • Strong Python skills
  • Experience with Snowflake
  • Experience with Terraform or Infrastructure as Code
  • Experience with CI/CD, Git or Bitbucket, and Jenkins
  • Experience with software testing, release processes, and production deployments
  • Strong understanding of data lake architecture and cloud data pipelines
  • USC, GC, or GC EAD work authorization
  • W2 employment
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The Company
8 Employees

What We Do

SCI Solutions Global LLC is a U.S.-based technology consulting and talent-solutions company. It provides digital-transformation services, IT project-delivery support, skilled technology professionals, and scalable software solutions to businesses ranging from startups to large enterprises. The company helps clients address technology challenges, build high-performing teams, and improve business outcomes through tailored consulting, staffing, systems, and software expertise across multiple industries and technology disciplines.

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