Data Engineer

American IT Systems • Plano, TX

5d • Onsite

About The Position

Design, develop and maintain data pipelines using Snowflake and modern data engineering tools. Build and optimize data models (dimensional, star/snowflake schemas) for analytics and BI reporting. Develop and manage ETL/ELT processes for ingesting and transforming structured and semi-structured data. Collaborate with business stakeholders, analysts and architects to translate requirements into data solutions. Ensure data quality, integrity and governance across datasets. Optimize Snowflake performance (clustering, partitioning, query tuning, cost optimization). Integrate data from multiple sources (APIs, databases, cloud platforms like AWS/Azure/GCP). Implement best practices for data architecture, security and access control. Support CI/CD pipelines and automate data workflows.

Requirements

• Proficiency in Snowflake
• Experience with modern data engineering tools
• Experience building and optimizing data models (dimensional, star/snowflake schemas)
• Experience developing and managing ETL/ELT processes
• Experience with structured and semi-structured data
• Experience collaborating with business stakeholders, analysts and architects
• Experience ensuring data quality, integrity and governance
• Experience optimizing Snowflake performance (clustering, partitioning, query tuning, cost optimization)
• Experience integrating data from multiple sources (APIs, databases, cloud platforms like AWS/Azure/GCP)
• Experience implementing best practices for data architecture, security and access control
• Experience supporting CI/CD pipelines
• Experience automating data workflows

Responsibilities

• Design, develop and maintain data pipelines using Snowflake and modern data engineering tools
• Build and optimize data models (dimensional, star/snowflake schemas) for analytics and BI reporting
• Develop and manage ETL/ELT processes for ingesting and transforming structured and semi-structured data
• Collaborate with business stakeholders, analysts and architects to translate requirements into data solutions
• Ensure data quality, integrity and governance across datasets
• Optimize Snowflake performance (clustering, partitioning, query tuning, cost optimization)
• Integrate data from multiple sources (APIs, databases, cloud platforms like AWS/Azure/GCP)
• Implement best practices for data architecture, security and access control
• Support CI/CD pipelines and automate data workflows

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed