Assistant Lead Engineer - .Net (Software Engineering)

Position Overview

NGEMR Data Conversion project involves migrating clinical data from legacy source systems into HL7-compliant formats for ingestion into NGEMR.

The candidate will play a key role in software development and supporting the Healthcare IT systems and other system integration initiatives, working closely with clinical and operational stakeholders to maintain and deliver secure, reliable, and high-quality software solutions.

This is a 1 year contract assignment.

Role & Responsibilities

Design, develop, and maintain software applications and services using the .NET framework/.Net Core

Develop and manage batch processing jobs to support data migration and transformation workflows

Build and maintain system interfaces and integration solutions across multiple platforms and source systems

Apply secure coding practices throughout the software development lifecycle to ensure applications meet security and compliance standards

Design and implement secure API integrations with internal and external systems

Perform data profiling and analysis to assess data quality, identify anomalies, and support data migration activities

Develop and optimize SQL Server databases, including writing complex queries, stored procedures, and data transformation scripts

Deploy and manage applications on Amazon Web Services (AWS), leveraging cloud services for scalability and reliability

Leverage AI-assisted coding tools and practices to improve development productivity, code quality, and secure code writing, ensuring that AI-generated code is reviewed, validated, and aligned with security and coding standards.

Requirements

Degree in Computer Science, Information Technology, Software Engineering, or a related discipline

Proven experience in software development using .NET (C# preferred)

Hands-on experience in developing and managing batch jobs and scheduled processing workflows

Strong knowledge of system interfacing and integration patterns, including HL7, REST, and SOAP

Solid understanding of secure coding principles and best practices, with familiarity with common vulnerability frameworks such as OWASP

Experience in designing and consuming secure APIs, including authentication mechanisms such as OAuth 2.0 and API key management

Proficiency in data profiling techniques and tools, with the ability to assess and document data quality findings

Strong SQL Server skills, including database design, query optimization, and stored procedure development

Working knowledge of AWS services such as ECS, EC2, S3, Lambda, and RDS

Experience or exposure to AI-assisted development tools such as GitHub Copilot, Claude Code, Codex, or similar coding assistants, with the ability to critically review and validate AI-generated code for correctness, security, and compliance with coding standards

Experience in healthcare IT or familiarity with clinical data standards such as HL7 and FHIR will be an advantage

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