.Net Azure Data Engineer - 3633570

Lighthouse Technology Services • Wilmington, DE

21h • Hybrid

About The Position

Lighthouse Technology Services is partnering with our client to fill their .Net Azure Data Engineer position! This is a 12 month contract with expected extension and/or conversion to FTE and will be hybrid in Wilmington, DE. This role will be a W2 employee of Lighthouse Technology Services. No C2C or subcontracting arrangements will be considered.

Requirements

• 3-5+ years of systems analysis and application development experience with a strong focus on data processing and ETL development
• Deep expertise in C# and .NET Core development, with proven ability to modernize legacy .NET Framework applications
• Solid experience with Azure Data Factory (ADF) for building and orchestrating data pipelines and workflows
• Strong proficiency in both SQL and NoSQL database structures, with hands-on experience in data modeling and ETL architecture
• Demonstrated experience with Azure application architecture and cloud-based solution design
• Proven ability to work on multiple complex projects simultaneously, managing competing priorities and tight delivery timelines
• Strong problem-solving and analytical skills with the ability to understand complex system interrelationships and downstream impacts
• Excellent communication skills with experience coordinating between technical teams and business stakeholders

Responsibilities

• Support the migration and redesign of wealth management applications from internal data centers to Azure cloud infrastructure, ensuring scalability and modern architecture patterns
• Build and maintain data processing pipelines and ETL frameworks to integrate multiple vendor systems, combining data from various sources to create a unified platform experience
• Develop hands-on solutions using C# and .NET Core to modernize legacy applications, upgrading existing .NET Framework 4.x code to current .NET Core standards
• Design and implement Azure Data Factory (ADF) workflows to orchestrate complex data jobs and automate data movement across the trading and portfolio management ecosystem
• Create and optimize SQL and NoSQL database structures to support high-performance data processing for trading positions, portfolio analytics, and client reporting
• Collaborate with business stakeholders and trading teams to understand requirements and deliver internal-facing web capabilities and enhanced reporting features
• Support the development of interfaces used by traders for daily operations, including trade settlement, reconciliation, and position management functionality
• Participate in technical evaluations and provide analytical consulting on new technology implementations to enhance the wealth management platform

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed