What are the responsibilities and job description for the Full Stack Azure Data Engineer position at Transcend IT Solutions?
Position: Azure Developer (Full Stack Azure Data Engineer)
Location: NYC, NY (3 Days Onsite from NY office)
Duration: Long Term
Team Overview
The Technology team is a progressive, global technology organization laser focused on improving its user community''s impact through technology. It is responsible for delivering the technical infrastructure, end-user computing, mobile and business application platforms required for a global, multi-asset class enterprise to operate in a dependable, scalable, and secure environment. The Enterprise Data and Application Development teams build and support data platforms, integrations, and applications used across the firm.
Job Description
We are seeking an experienced Azure Data Engineer (Full Stack) to support the evolution of the firm''s enterprise data platform. The role is hands-on and spans backend data engineering, service development, and integrations within Azure. You will design, build, and support scalable, production-grade data pipelines and applications, and work closely with business and technology teams to deliver reliable solutions.
Responsibilities:
Design, build, and maintain end-to-end data pipelines supporting the enterprise data platform.
Develop and optimize SǪL models, stored procedures, and data transformations.
Build backend services and integrations using C# and .NET.
Develop and maintain Azure-based solutions including Azure Data Factory and Azure Functions.
Design and develop APIs and service layers to expose data to downstream systems.
Implement event-driven and batch processing patterns where appropriate.
Ensure data integrity, performance, and reliability across the platform.
Implement monitoring, logging, and alerting across pipelines and services.
Collaborate with DevOps, data engineering, and business teams to deliver solutions.
Contribute to coding standards, governance, and development best practices.
Support production deployments and troubleshoot issues across the stack.
Requirements:
10 years of experience in software or data engineering roles.
Strong SǪL skills including data modeling and performance tuning.
Hands-on experience with C# and .NET development.
Experience working within Microsoft Azure environments (ADF, Functions).
Experience building APIs and service-based architectures.
Strong understanding of ETL/ELT patterns and data pipeline design.
Experience working with large-scale or distributed data systems.
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications:
Experience with modern cloud-native data architectures.
Hands-on experience with Apache tools (Kafka, Spark, Flink) and Java-based frameworks.
Experience with event-driven architectures (e.g., Event Hubs).
Familiarity with Azure App Configuration.
Experience working with Azure API Management (APIM).
Experience with CI/CD pipelines and DevOps practices.
Experience in financial services or investment management environments
Salary : $60 - $65