Remote Senior Data Engineer — Snowflake AI & Python Expert

Quantum Technologies. LLC; United States; Remote; USD 102,000 - 146,000; Full time

Job summary

Quantum Technologies. LLC seeks an experienced Senior Data Engineer to design and maintain scalable data infrastructure in a remote USA setting. You will leverage Snowflake, Python, SQL, and dbt to support analytics, self-service reporting, and AI-powered applications.

The role involves building data models, semantic layers, and robust CI/CD pipelines, with responsibilities spanning from requirements through production deployment in a remote environment.

Qualifications

• 8+ years of senior data engineering experience.
• Hands-on Snowflake Cortex: Agents, Analyst and Search.
• Knowledge of Snowflake MCP and Snowpark.
• Strong Python, SQL, and dbt skills.
• Experience with dimensional modeling (Star Schema).
• CI/CD and deployment using GitHub Actions; Snowflake CLI.

Responsibilities

• Design scalable data solutions using Snowflake, SQL, and dbt.
• Implement Snowflake Cortex Agents, Cortex Analyst, and Cortex Search.
• Develop LLM-based agents and AI integrations with Snowflake MCP.
• Build Snowpark Python stored procedures and models.
• Develop dimensional models using Star Schema and Kimball methods.
• Create semantic models and views for analytics.
• Manage CI/CD pipelines with GitHub Actions and Snowflake CLI.
• Work with Docker, Snowpark Container Services, and compute pools.
• Handle Jira stories from requirements to production deployment.
• Troubleshoot production issues and maintain data quality.

Skills

Snowflake Cortex

Snowflake Analyst

Snowflake Search

Snowflake MCP

Snowpark

Python

SQL

dbt

LLM/AI

GitHub Actions

CI/CD

Docker

Tools

Snowflake CLI

Snowpark

GitHub

Docker

Job description

Quantum Technologies. LLC seeks an experienced Senior Data Engineer to design and maintain scalable data infrastructure in a remote USA setting. You will leverage Snowflake, Python, SQL, and dbt to support analytics, self-service reporting, and AI-powered applications.

The role involves building data models, semantic layers, and robust CI/CD pipelines, with responsibilities spanning from requirements through production deployment in a remote environment.