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# Data & Cloud Services Engineer

- **Company:** Sci Solutions Global
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Cloud Computing, Cloud Database, Continuous Integration, Extract Transform Load (ETL), Python (Programming Language), Software Tools, Aws Command Line Interface (CLI), GitHub Copilot, Snowflake, Apache Spark, State Machines, Boto3, Git, Infrastructure Automation Frameworks, AWS Lake Formation, AWS Glue, AWS Data Analytics, Bitbucket, Claude, Functional Programming, Cloudwatch, Terraform, Splunk, Data Pipelines, Jenkins, Servicenow, Databricks, Control M
- **Published:** October 28, 2026
- **Apply:** https://www.thejobnetwork.com/job/d7496ecf-35c5-4e90-8102-8d926752365e/data-cloud-services-engineer

## About the Role

* 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, * Snowflake Horizon Catalog

 * Databricks and Unity Catalog
 * Additional experience with Spark and cloud data analytics

## Description

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.