Senior Data Integration Engineer - Credit Risk Onsite Day 1

Accord Technologies Inc; New York (NY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Accord Technologies Inc in New York, NY seeks a Senior Data Integration Engineer with Credit Risk experience to own end-to-end data pipelines for counterparty risk analytics. The role focuses on ingesting data from multiple upstream systems, transforming and integrating it for CCR exposure analytics (EPE, PFE, EAD) and regulatory reporting.

You will work with EM/CRR users and business analysts to translate requirements into robust, scalable data solutions using Databricks, PySpark, and cloud

Qualifications

• 10+ years of Python and advanced SQL experience focusing on data transformation and analytics.
• 5+ years in data engineering, data integration, or enterprise data management in financial services.
• 3+ years in a VP level or equivalent senior role supporting risk or exposure platforms.
• 3+ years with Databricks and PySpark for large-scale ETL and data integration.

Responsibilities

• Design, develop, and optimize scalable data pipelines for CCR exposure analytics.
• Implement ETL/ELT solutions across batch and streaming processes with data lakes and data warehouses.
• Integrate trading and derivatives data into CCR calculation and reporting platforms.
• Collaborate with EM/CRR users and analysts to understand exposure-related requirements.

Skills

Python

SQL

PySpark

Tools

Databricks

Snowflake

PowerBI

Airflow

Jenkins

GitLab CI

Azure

Kafka

Job description

Accord Technologies Inc in New York, NY seeks a Senior Data Integration Engineer with Credit Risk experience to own end-to-end data pipelines for counterparty risk analytics. The role focuses on ingesting data from multiple upstream systems, transforming and integrating it for CCR exposure analytics (EPE, PFE, EAD) and regulatory reporting.

You will work with EM/CRR users and business analysts to translate requirements into robust, scalable data solutions using Databricks, PySpark, and cloud