Data & Cloud Services Engineer

Posted 2 Days Ago
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Plano, TX, USA
In-Office
Senior level
Information Technology • Software • Consulting
The Role
Build and support AWS data lake and Snowflake solutions, develop Python and Spark data pipelines, automate infrastructure with Terraform, and manage CI/CD deployments. The role uses AWS services including Glue, S3, Lambda, Step Functions, and Lake Formation, along with monitoring and change-management tools. Candidates will also apply AI-assisted engineering tools to improve productivity and may work with Databricks, Unity Catalog, and cloud analytics platforms.
Summary Generated by Built In
Role: Data & Cloud Services Engineer
location: Plano, TX

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



Skills Required

  • 6+ years of cloud data engineering experience
  • Experience with AWS Glue, S3, Lambda, Step Functions, and Lake Formation
  • Experience with Snowflake
  • Experience with Python
  • Experience with Terraform or infrastructure as code
  • Experience with CI/CD pipelines and AWS deployments
  • Familiarity with AI-assisted tools such as GitHub Copilot, Claude, or agentic workflows
  • Ability to use AI-assisted engineering tools appropriately to improve development productivity
  • AWS CLI, Python APIs, Spark, and Boto3 experience
  • Experience with Athena, S3 Select, EMR, Redshift, EC2, AWS CloudWatch, and Splunk
  • Snowflake Horizon Catalog experience
  • Databricks and Unity Catalog experience
  • Additional Spark and cloud data analytics experience
  • Control-M experience
  • Java or Scala experience
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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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