

KPG99 INC
AI Data Engineer - W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer with a 6-month contract, based onsite in Miami, FL or Toronto, ON. Requires 5+ years in Snowflake, expertise in Python, SQL, and data orchestration tools, plus experience in AI/ML data pipeline engineering.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 29, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Miami, FL
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🧠 - Skills detailed
#Data Pipeline #Data Warehouse #SQL (Structured Query Language) #Data Processing #Data Modeling #Data Engineering #Automation #Cloud #Snowflake #Data Orchestration #Data Integration #dbt (data build tool) #Deployment #ML (Machine Learning) #Python #Scala #Data Science #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Airflow
Role description
Title: AI Data Engineer - w2 only
Location: Miami, FL or Toronto, ON – Onsite
Duration: 6 months contract to hire.
Interview Mode : Phone + Video
Job Description :
We are seeking an experienced AI Data Engineer to join our team in a full-time, onsite capacity. The ideal candidate will have a strong background in data engineering, advanced analytics, and AI-driven solutions. You’ll be responsible for building and optimizing data pipelines, enabling AI models, and supporting enterprise-level data integration initiatives.
Key Responsibilities
• Design, develop, and maintain robust data pipelines for AI and analytics workloads.
• Collaborate closely with data scientists and AI teams to deploy and manage machine learning models.
• Work on integrating data from multiple sources into a centralized data warehouse environment.
• Support large-scale data processing and transformation using Snowflake.
• Participate in implementing an enterprise AI platform (Cortex or similar frameworks).
• Ensure scalability, reliability, and performance of all data workflows.
• Partner with cross-functional stakeholders across engineering, analytics, and business teams.
Qualifications
• Minimum 5+ years of experience in Snowflake (data modeling, optimization, pipeline management).
• Proven experience in AI/ML data pipeline engineering and integration with cloud ecosystems.
• Strong skills in Python, SQL, and data orchestration tools (Airflow, dbt, etc.).
• Experience with ETL, data warehousing, and real-time data processing.
• Familiarity with MLOps frameworks and deployment automation.
• Excellent communication skills and ability to work in a highly collaborative environment.
• Willingness to work fully onsite in either Miami, FL or Toronto, ON.
Title: AI Data Engineer - w2 only
Location: Miami, FL or Toronto, ON – Onsite
Duration: 6 months contract to hire.
Interview Mode : Phone + Video
Job Description :
We are seeking an experienced AI Data Engineer to join our team in a full-time, onsite capacity. The ideal candidate will have a strong background in data engineering, advanced analytics, and AI-driven solutions. You’ll be responsible for building and optimizing data pipelines, enabling AI models, and supporting enterprise-level data integration initiatives.
Key Responsibilities
• Design, develop, and maintain robust data pipelines for AI and analytics workloads.
• Collaborate closely with data scientists and AI teams to deploy and manage machine learning models.
• Work on integrating data from multiple sources into a centralized data warehouse environment.
• Support large-scale data processing and transformation using Snowflake.
• Participate in implementing an enterprise AI platform (Cortex or similar frameworks).
• Ensure scalability, reliability, and performance of all data workflows.
• Partner with cross-functional stakeholders across engineering, analytics, and business teams.
Qualifications
• Minimum 5+ years of experience in Snowflake (data modeling, optimization, pipeline management).
• Proven experience in AI/ML data pipeline engineering and integration with cloud ecosystems.
• Strong skills in Python, SQL, and data orchestration tools (Airflow, dbt, etc.).
• Experience with ETL, data warehousing, and real-time data processing.
• Familiarity with MLOps frameworks and deployment automation.
• Excellent communication skills and ability to work in a highly collaborative environment.
• Willingness to work fully onsite in either Miami, FL or Toronto, ON.






