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Senior Data Engineer

Remote in New York, NY, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

FOCUS
Cloud Computing
ELT
Management
Collaboration
Business Operations
Data Engineering
Capital Market
Extract
Transform
Load
.NET
RabbitMQ
DTCC
ISO 9000
Finance
Messaging
Microsoft SQL Server
Performance Tuning
Query Optimization
Amazon Web Services
Amazon S3
Kubernetes
Docker
Amazon RDS
Remote Desktop Services

Summary

Our client is seeking a Senior Data Engineer with deep Capital Markets experience to support the design, development, and implementation of trade lifecycle data solutions. This role will focus on cloud-native data pipelines, trade processing architectures, post-trade operations, and enterprise data engineering initiatives.

Responsibilities & Qualifications

Design and develop trade lifecycle data solutions across Capital Markets environments
Build and maintain cloud-native ETL/ELT pipelines and ingestion frameworks
Develop .NET-based applications supporting event-driven and message-based architectures
Support trade processing, reconciliation, settlement, and exception management initiatives
Design scalable data models, schemas, and transaction data architectures
Collaborate with business, operations, and technology stakeholders on enterprise data initiatives

Requirements

10+ years of Data Engineering experience within Capital Markets environments
Strong experience developing ETL pipelines using .NET and deploying into Kubernetes environments
Experience with RabbitMQ, event-driven processing, and messaging frameworks
Strong understanding of the complete trade lifecycle including execution, clearing, settlement, and reconciliation
Hands-on experience with DTCC platforms, specifically RTTM and Settlement Web
Strong knowledge of ISO 15022 financial messaging standards
Advanced experience with SQL Server, performance tuning, indexing, and query optimization
Strong experience with AWS, including S3, EKS, Kubernetes, Docker, and RDS

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91166607
Position Id: 2d48d51bcf44c3e2cd0374896f655e5f
Posted 5 hours ago

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