Senior Data Engineer- Risk Analytics

Role Overview

A financial services organization is seeking a Senior Data Engineer to help design and build a modern risk data platform. This individual will play a key role in transforming risk reporting through scalable data architecture, automated pipelines, and business-focused analytics.

This is a 6-month contract engagement with potential for extension.

Location: Onsite, Dallas, TX

Compensation: Approximately $60/hour +/
- What You'll Be Doing

• Design and develop scalable database architecture supporting risk analytics and reporting
• Build ETL/ELT pipelines that ingest and process data from trading systems, market data feeds, and internal applications
• Create centralized data models that serve as a trusted source for risk reporting
• Automate manual reporting workflows and improve data quality, auditability, and operational efficiency
• Optimize data processing systems to support large-scale datasets and analytical workloads
• Partner with Risk, Finance, and business stakeholders to translate requirements into technical solutions
• Develop reporting and dashboard capabilities that improve visibility into risk metrics
• Support ongoing data engineering and analytics initiatives as business needs evolve

What We're Looking For

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline
• Strong experience with data modeling, database design, and enterprise data architecture
• Advanced Python and SQL skills
• Experience building and supporting cloud-based data platforms
• Experience designing automated reporting and analytics solutions
• Strong analytical and problem-solving skills
• Ability to communicate effectively with both technical and non-technical stakeholders
• Experience with in financial services, capital markets, or fintech environments preferred
• Understanding of fixed income products, trading workflows, and risk management concepts preferred

Tech Environment

• Microsoft Fabric
• Lakehouse
• Warehouse
• Data Factory
• Data Pipelines
• Python
• SQL
• AWS
• Git Lab
• Power BI
• Tableau

Why This Role Matters

This position will help modernize how risk data is collected, processed, and reported. The work will directly support more efficient risk management, improved data quality, and better decision-making across the organization.