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Cloud Data Engineer(Python)

SCI SOLUTIONS GLOBAL Plano, Texas, United States · $114K/yr

IT Services and IT Consulting · 11-50 employees

Yesterday
python Senior (5-10 yrs) Contractor United States
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About the role

Design, develop, and maintain scalable cloud data platforms and pipelines using AWS services. Collaborate with stakeholders to implement data governance, security, and automation while optimizing production workloads.

What they look for

Python AWS Snowflake Terraform CI/CD Data Engineering AWS Glue Amazon S3 AWS Lambda AWS Step Functions AWS Lake Formation Boto3 Data Governance Cloud Infrastructure Automation Git

Requirements

Requires 6+ years of professional experience in cloud data engineering with strong proficiency in Python and AWS. Candidates must have hands-on experience with Snowflake, Terraform, and CI/CD practices.

Full description

Job Title: Senior Cloud Data Engineer

Location: Plano, TX

Work Authorization: US Citizen, Green Card, or GC EAD preferred 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

  • 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.

Minimum Qualifications

  • 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.

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 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.

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