Data Platform Engineer - Credit Data & Analytics

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

United States

On-site

USD 150,000 - 170,000

Full time

14 days+

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Job summary

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC is seeking a hands-on Data Engineer for Credit Data & Applications to build and enhance the Credit Data Warehouse, supporting portfolio analytics and external integrations.

You will design data pipelines with Snowflake/Databricks, use dbt for transformations, and orchestrate with Airflow, partnering with investment and operations teams to deliver scalable, BI-ready data solutions.

Qualifications

  • Bachelor’s degree required in CS/Engineering or related field.
  • 6+ years of relevant technical experience.
  • Strong hands-on experience with Snowflake and/or Databricks.
  • Experience with Azure and/or AWS cloud environments.
  • Hands-on dbt, Airflow, and SQL expertise.
  • Experience with Power BI and BI data modeling.

Responsibilities

  • Build and enhance scalable data models in Snowflake and Databricks across layers.
  • Develop and maintain transformation logic with dbt.
  • Design and optimize SQL for large financial datasets.
  • Create data quality checks and audit controls.
  • Collaborate with Credit IQ/Power BI teams for semantic layers.
  • Develop DAGs and data pipelines in Airflow.
  • Support data integrations via APIs and file transfers.

Skills

SQL
Python
Data Modeling
Data Warehousing
ETL/ELT
API integration
Git
CI/CD

Education

Bachelor’s degree in CS/Engineering or related field
Master’s degree preferred

Tools

Snowflake
Databricks
dbt
Airflow
Power BI
Azure
AWS

Job description

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC is seeking a hands-on Data Engineer for Credit Data & Applications to build and enhance the Credit Data Warehouse, supporting portfolio analytics and external integrations.

You will design data pipelines with Snowflake/Databricks, use dbt for transformations, and orchestrate with Airflow, partnering with investment and operations teams to deliver scalable, BI-ready data solutions.

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