Senior Data Engineer
Job Location:
Monthly Salary:
Experience Required:
Posted on:
Vacancies:
Job Summary
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 application code and deploying solutions into containerized Kubernetes environments.
- Strong experience 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.
- 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.
Required Skills:
Required Skills & Experience: 10 years of Data Engineering experience within Capital Markets environments. Strong Experience developing ETL pipelines application code and deploying solutions into containerized Kubernetes environments. Strong experience 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.
