Data Engineer: Pipelines, Snowflake & DBT Mastery
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Software Development
Data Engineering, AWS, SQL Developer, Python
Job Description & How to Apply Below
Pad Split is seeking a hands-on Data Engineer to build and maintain ingestion and transformation pipelines across Dagster (or Airflow), dbt, and Snowflake, with Python, Airbyte, and AWS support. You’ll help cover critical paths like the daily Postgres → Snowflake → dbt flow and third-party API loads, via reviewed PRs rather than one-off scripts.
You’ll work with the DE lead to shape models and pipelines, ensure reliability, and participate in code reviews and runbooks for on-call coverage.
We are seeking a motivated Remote Data Engineer:
Pipelines, Snowflake & DBT Mastery to join Remote in San Francisco, CA, United States.
For the Remote Data Engineer:
Pipelines, Snowflake & DBT Mastery position at Remote, we are reviewing applications now.
Step into the Remote Data Engineer:
Pipelines, Snowflake & DBT Mastery role at Remote in San Francisco, CA, United States and grow with us.
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