Data & Cloud Services Engineer

SCI SOLUTIONS GLOBAL; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

SCI SOLUTIONS GLOBAL in Plano, TX is seeking a Data & Cloud Services Engineer to design and implement AWS data lake solutions, Snowflake platforms, and Python-based data pipelines. They will automate infrastructure, enable CI/CD, and apply AI-assisted engineering tools to boost productivity.

Candidates should have 6+ years in cloud data engineering, hands-on with AWS Glue, S3, Lambda, Step Functions, Lake Formation, Snowflake, Terraform, and monitoring.

Qualifications

• 6+ years of cloud data engineering experience.
• Experience with AWS Glue, S3, Lambda, Step Functions and Lake Formation.
• Snowflake experience.
• Python experience.
• Terraform / Infrastructure as Code.
• CI/CD pipelines and AWS deployments.
• Familiarity with AI-assisted tools such as GitHub Copilot, Claude, or agentic workflows.

Responsibilities

• Use AI-assisted engineering tools appropriately to improve development productivity.

Skills

Cloud data engineering

CI/CD practices

AI-assisted tooling

Python programming

Tools

Snowflake

AWS Glue

S3

Lambda

Step Functions

Lake Formation

Terraform

CI/CD

GitHub Copilot

Claude

Job description

Role: Data & Cloud Services Engineer location: Plano, TX

Work Authorization: US Citizen, Green Card, or GC EADpreferred W2 Requirement- No C2C, 1099, or third-party profiles accepted.

Our Client is seeking Data & Cloud Services Engineer with hands‑on experience building and supporting AWS data lake solutions, Snowflake platforms, and Python-based data pipelines. Candidates should have experience with infrastructure automation, CI/CD, and AI‑assisted engineering tools.

Requirements

• 6+ years of cloud data engineering experience
• AWS Glue, S3, Lambda, Step Functions, and Lake Formation
• Snowflake
• Python
• Terraform / Infrastructure as Code
• CI/CD pipelines and AWS deployments
• Familiarity with AI‑assisted tools such as GitHub Copilot, Claude, or agentic workflows

• Use AI-assisted engineering tools appropriately to improve development productivity.

Additional Technical Experience

AWS Data Lake: Lake Formation, Glue, Step Functions, Lambda
Data Movement: AWS CLI, Python APIs, Spark, Boto3
Analytics: Athena, S3 Select, EMR, Redshift
Compute and Storage: S3, EC2
Scheduling: Control‑M preferred
Programming: Python preferred; Java or Scala is a plus
CI/CD and Change Management: Bitbucket/Git, Jenkins, ServiceNow
Monitoring: AWS CloudWatch, Splunk

Preferred Qualifications

• Snowflake Horizon Catalog
• Databricks and Unity Catalog
• Additional experience with Spark and cloud data analytics