Senior Data Engineer – Credit Risk (Hybrid) New York, NY

Senior Data Engineer Credit Risk (Hybrid)

Location: New York NY 10020 (Hybrid)
Duration: 1-Year Contract (Possible Extension)
Interview Process: 2 Virtual Teams Interviews 1 Onsite Interview

Position Overview

Navitas Partners LLC is seeking a highly experienced Senior Data Engineer to join a Credit Risk technology team supporting enterprise-scale risk data platforms. The ideal candidate will lead architecture discussions design scalable data pipelines and ensure reliable compliant and high-quality data processing across modern cloud-based lakehouse environments.

This role requires deep expertise in financial data engineering credit risk domains and large-scale distributed data processing using PySpark and Databricks.

Key Responsibilities

• Lead architecture and technical design discussions for Credit Risk data platforms using modern data engineering frameworks and cloud-native technologies
• Design and implement scalable batch and streaming data pipelines using PySpark within a Medallion Lakehouse architecture on Databricks
• Build and maintain data ingestion pipelines from upstream systems (loan origination trading systems market data feeds) into cloud storage (S3/ADLS) using Parquet and Delta Lake formats
• Implement partitioning strategies Z-order optimization and schema evolution for high-performance data processing
• Develop and optimize large-scale PySpark transformations for credit and counterparty risk datasets ensuring accuracy auditability and regulatory compliance across Bronze Silver and Gold layers
• Support modeling and optimization of risk metrics including PD LGD EAD EPE PFE CVA for downstream analytics and reporting
• Integrate with external risk/XVA engines and manage orchestration of long-running batch computations
• Ensure platform reliability observability lineage tracking security and regulatory compliance (Basel III/IV FRTB CECL)
• Design and maintain APIs data contracts and technical documentation aligned with audit and compliance standards
• Collaborate closely with risk quant compliance and engineering teams to deliver scalable data solutions

Required Qualifications

• 12 years of experience in data engineering or data development preferably in financial services or banking
• Strong domain expertise in Credit Risk and Counterparty Risk
• Familiarity with regulatory frameworks such as Basel III/IV IFRS 9 CECL FRTB
• Expert-level proficiency in Python and PySpark/Apache Spark
• Hands-on experience with Azure Databricks Delta Lake and Medallion Architecture
• Strong SQL skills including joins window functions and performance optimization on large datasets
• Experience building ingestion pipelines from core banking trading and market data systems
• Knowledge of workflow orchestration tools such as Airflow or Databricks Workflows
• Experience with CI/CD tools including Git Jenkins and Azure DevOps in regulated environments
• Understanding of cloud platforms (AWS certification or equivalent preferred)
• Experience producing architecture diagrams data flow documentation and data dictionaries
• Agile delivery experience using tools such as JIRA Confluence and Zephyr
• Strong communication skills with ability to bridge technical and risk/business stakeholders

Preferred Attributes

• Strong focus on data governance data quality and regulatory compliance
• Experience working with quant teams and risk modeling systems
• Ability to quickly adapt to evolving financial technologies and regulatory requirements
• Proactive collaborative and detail-oriented mindset in high-stakes environments

For more details reach at

About Navitas Partners LLC:It is a certified WBENC and one of the fastest-growingTechnical / ITstaffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.