Data Platform Engineer: AI-Driven Pipelines & Snowflake

National Debt Relief; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) with company match

12 weeks paid parental leave

Transit benefits

Paid holidays

Volunteer time off

Sick days

Vacation

Job summary

National Debt Relief seeks a Data Engineer to build and operate the data platform that underpins analytics and decision-making. Reporting to the Senior Data Engineering Manager, you will work across Snowflake-based ingestion, orchestration, and transformation.

Responsibilities include owning projects end to end, developing Python-based ingestion pipelines, and building dbt, Dagster, and Snowflake workflows while reviewing code with AI coding agents.

Qualifications

• 4+ years of data engineering, analytics engineering, or warehouse development experience.
• Strong SQL and data modeling skills; working proficiency with dbt, Dagster, and Snowflake.
• Experience with Python, CI/CD, version control, and automated testing.

Responsibilities

• Own data engineering projects end to end, from defining scope through verified delivery.
• Develop Python-based ingestion pipelines and build dbt, Dagster, and Snowflake workflows.
• Review and verify shipped code using AI coding agents as part of daily work.

Skills

SQL

Data modeling

Python

Tools

dbt

Dagster

Snowflake

Git

Job description

National Debt Relief seeks a Data Engineer to build and operate the data platform that underpins analytics and decision-making. Reporting to the Senior Data Engineering Manager, you will work across Snowflake-based ingestion, orchestration, and transformation.

Responsibilities include owning projects end to end, developing Python-based ingestion pipelines, and building dbt, Dagster, and Snowflake workflows while reviewing code with AI coding agents.