Senior Data Engineer - Credit Data & Apps

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC; Washington (District of Columbia); On-site; USD 150,000 - 170,000; Full time

Job summary

The Carlyle Group is seeking a Data Engineer, Credit Data & Applications to help build and maintain the Credit Data Warehouse (CDW) powering portfolio analytics, loan monitoring, and reporting. You will implement data pipelines, transformation logic with dbt, and reliable integrations across Snowflake/Databricks environments.

The role emphasizes pipeline orchestration with Airflow, data quality and governance, and collaboration with investment and operations teams to deliver scalable data

Qualifications

• Bachelor's degree in a quantitative field required; concentration in CS/engineering preferred.
• Minimum 6 years of relevant data/engineering experience.
• Strong hands‑on experience with Snowflake and/or Databricks; SQL optimization for large financial datasets.
• Experience building data pipelines with dbt and orchestration with Airflow; API/file‑based integrations desirable.
• Familiarity with Azure and/or AWS cloud environments and BI tooling (Power BI).

Responsibilities

• Build and enhance scalable data models in Snowflake/Databricks across landing, integration and presentation layers.
• Develop and maintain transformation logic with dbt; ensure modular, tested models.
• Design and optimize SQL for performance and cost in large datasets.
• Implement data quality checks, lineage, governance and audit controls.
• Collaborate with analytics teams to support reporting and BI needs (Power BI).

Skills

SQL

Python

Power BI

Airflow

dbt

Data modeling

Communication

Education

Bachelor's degree

Master's degree

Tools

Snowflake

Databricks

dbt

Airflow

Azure

AWS

Power BI

Job description

The Carlyle Group is seeking a Data Engineer, Credit Data & Applications to help build and maintain the Credit Data Warehouse (CDW) powering portfolio analytics, loan monitoring, and reporting. You will implement data pipelines, transformation logic with dbt, and reliable integrations across Snowflake/Databricks environments.

The role emphasizes pipeline orchestration with Airflow, data quality and governance, and collaboration with investment and operations teams to deliver scalable data