Credit Risk Data Engineer (Fully Remote)

Kiwi Financial Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Kiwi Financial Inc. is seeking a data engineer to own the credit risk data layer, ensuring freshness, correctness, and documentation of vendor inputs.

You will write data contracts, monitor sources, and build Snowflake pipelines with dbt, Airflow, and Python, collaborating with Credit Risk, Data Science, Engineering, and Product teams. The company is remote-first and values cross-functional collaboration across disciplines.

Qualifications

• 4+ years of data engineering experience.
• Strong SQL expertise and data modeling skills.
• Proficiency in Python and dbt for data pipelines.

Responsibilities

• Own the credit risk data layer from vendor data to model inputs.
• Write data contracts and monitor sources, freshness, volumes, and drift.
• Build Snowflake pipelines and automated quality tests with dbt, Airflow, and Python.

Skills

Data engineering

SQL

Data modeling

Python

dbt

Tools

Snowflake

Airflow

dbt

Job description

• Own the credit risk data layer from vendor data to model inputs.
• Ensure data is fresh, correct, and documented.

Responsibilities:

• Write data contracts and monitor sources, freshness, volumes, and drift.
• Build Snowflake pipelines and automated quality tests with dbt, Airflow, and Python.

Requirements:

• 4+ years data engineering, expert SQL, strong data modeling, Python, and dbt.
• Experience with cloud warehouses, orchestration, and data quality tooling.

Kiwi Financial Inc. is a financial technology company that uses data and AI to make credit risk and lending decisions. The company is remote-first and works as a collaborative multidisciplinary team across Credit Risk, Data Science, Engineering, and Product.