Senior Data Engineer Snowflake & AI Data Platform

Tempe, AZ, US • Posted 8 hours ago • Updated 55 minutes ago
Full Time
Travel Required
On-site
$140k - $150K
Fitment

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Job Details

Skills

  • Snowflake & AI Data Platform

Summary

We are seeking an experienced Snowflake Data Engineer to design, build, and optimize modern cloud-based data platforms. The ideal candidate will have strong expertise in Snowflake, Python, SQL, Airflow, and AI powered analytics, with a passion for building scalable data products and leveraging modern engineering practices.
Key Responsibilities:
You will design and develop scalable Snowflake-based data solutions
You will build and optimize ELT/ETL pipelines and data models
You will leverage Snowflake Cortex to enable AI-powered analytics and insights
You will develop and manage Airflow workflows and orchestration frameworks
You will implement Spec-Driven Development using Cursor and AI-assisted engineering
You will create Power BI-ready semantic layers and analytics datasets
You will drive automation, testing, monitoring, and CI/CD best practices
You will collaborate with business and analytics teams to deliver high-quality data products
Experience Required & Education:
8 12 years of experience in Data Engineering and Cloud Data Platforms
Bachelor's/master's degree in computer science, Engineering, or related field.
Must-Have:
Expert in Snowflake (Architecture, Data Modeling, Performance Tuning, Snowpark, Dynamic Tables, Streams & Tasks)
Hands-on experience with Snowflake Cortex (Cortex Analyst, Cortex Search, AI-powered analytics)
Strong expertise in Python and advanced SQL
Experience building scalable ETL/ELT pipelines
Strong knowledge of Apache Airflow for workflow orchestration
Experience with Power BI datasets, semantic models, and report optimization
Proficient in Cursor IDE and AI-assisted development
Hands-on experience with Spec-Driven Development (SDD) and metadata-driven engineering
Strong understanding of Git, CI/CD, and DataOps practices
Experience integrating data from APIs, SaaS applications, and enterprise systems
Good to Have:
Experience with Terraform and Infrastructure as Code
Exposure to Datadog or enterprise monitoring tools
Experience with AI/GenAI-driven data engineering solutions
Knowledge of Azure/AWS cloud platforms
Retail, Consumer, or QSR domain experience
Experience working in Agile product teams
Exposure to modern data platform modernization initiatives
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91128156
  • Position Id: 2026-3353
  • Posted 8 hours ago
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