Senior Data Engineer

 Posted 5 hours ago
     
⭐ 10+ years experience
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AI Summary

Design and implement cloud-native data pipelines and trade lifecycle solutions to support processing, reconciliation, and settlement. Onboard complex financial data sources and maintain a unified trade architecture.

PLEASE NOTE:

  • It is a remote position.
  • Looking for candidates in the NY/NJ area or the very least on the East Coast.
  • Duration: Contract through June 2027.

Job Description:

We are seeking a Senior Data Engineer with extensive Capital Markets experience to support the design, development, and implementation of trade lifecycle data solutions. The consultant will be responsible for building cloud-native data pipelines, onboarding complex financial data sources, and supporting a unified trade architecture that enables trade processing, reconciliation, settlement, and exception management functions.

This role requires strong technical expertise combined with deep knowledge of post-trade processing, DTCC platforms, and financial messaging standards.



Requirements

Required Skills & Experience:

  • 10+ years of Data Engineering experience within Capital Markets environments.
  • Strong Experience developing ETL pipelines using .NET application code and deploying solutions into containerized Kubernetes environments.
  • Strong experience writing.NET applications utilizing RabbitMQ libraries for message queue integration and event-driven processing.
  • Strong understanding of the complete trade lifecycle, including execution, clearing, settlement, and reconciliation.
  • Extensive experience designing and implementing ETL/ELT data pipelines.
  • Strong expertise in data modeling, schema design, and transaction data architecture.
  • Hands-on experience with DTCC platforms, specifically RTTM and Settlement Web.
  • Strong knowledge of ISO 15022 financial messaging standards.
  • Experience developing ingestion frameworks utilizing MQ technologies (IBM MQ, RabbitMQ, Kafka, or similar) and REST APIs.
  • Advanced SQL Server expertise including performance tuning, indexing, query optimization, and stored procedure development.
  • Strong experience with AWS cloud-native services, including S3, EKS, Kubernetes, Docker, and RDS.
  • Excellent troubleshooting, analytical, and problem-solving capabilities.


Preferred Experience:
  • Unified Trade Record (UTR) schema design and implementation.
  • Trade Exceptions platform development and support.
  • Real-time or near real-time data processing architectures.
  • Data governance, lineage, cataloging, and observability tooling.
  • Regulatory reporting and compliance data requirements within Capital Markets.
  • FIX protocol message processing.
  • FxML message processing.
  • Previous consulting or client-facing delivery experience.

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