Remote Data Engineer — Snowflake, dbt & AI-Driven Pipelines

Job4pak; Northern (KY); Hybrid; USD 150,000 - 180,000; Full time

Job summary

Job4pak is seeking a Data Engineer for a fully remote, US-based role focused on building cloud data pipelines with Snowflake and dbt. The position emphasizes AI-assisted development and modern tooling, with a salary range reflecting mid-to-senior levels in the US market.

The successful candidate will work on batch and low-latency pipelines, leverage Python and SQL, and collaborate in a remote-friendly, agile environment while supporting CI/CD workflows and data delivery to analytics platforms.

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• 3+ years in data engineering or similar technical roles.
• Proficiency in production-quality SQL and Python.
• Experience with Snowflake and dbt.
• Familiarity with ELT/ETL and CI/CD workflows.
• Usage of AI tools in software development.

Responsibilities

• Build and optimize batch and low-latency data pipelines.
• Use AI coding tools throughout the SDLC.
• Generate and validate automated data quality tests.
• Document data products and tech information efficiently with AI.
• Create coordinated workflows for data processing and delivery.
• Develop SQL and Python solutions for data handling and transformations.
• Ensure data accessibility for analytics and applications through integration.

Skills

SQL

Python programming

Cloud data solutions

ELT/ETL

CI/CD

AI tools in development

Education

Bachelor’s degree or equivalent

Tools

Snowflake

dbt

Job description

Job4pak is seeking a Data Engineer for a fully remote, US-based role focused on building cloud data pipelines with Snowflake and dbt. The position emphasizes AI-assisted development and modern tooling, with a salary range reflecting mid-to-senior levels in the US market.

The successful candidate will work on batch and low-latency pipelines, leverage Python and SQL, and collaborate in a remote-friendly, agile environment while supporting CI/CD workflows and data delivery to analytics platforms.