Advanced Software Engineer

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Software EngineerSoftware Engineering

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Job Description We are seeking a highly skilled full stack Software Engineer with deep expertise in .NET development and data-driven applications to join our engineering team. In this role,

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Software EngineerSoftware Engineering

We are seeking a highly skilled full stack Software Engineer with deep expertise in .NET development and data-driven applications to join our engineering team. In this role, you will design, develop, and maintain enterprise solutions that support Agilent's scientific instruments, laboratory management systems, and business intelligence initiatives.

The ideal candidate combines strong software engineering fundamentals with hands-on experience working with large and complex datasets. You will leverage modern data platforms, cloud technologies, and analytics tools to build scalable applications, data pipelines, and dashboards that drive informed business decisions and deliver value to customers.

Requirements

~1 min read

5+ years of professional software development experience.
Strong proficiency in C#, .NET Framework, and .NET Core.
Strong experience designing and developing data-centric applications.
Experience with enterprise databases such as SQL Server, PostgreSQL, or Oracle, including schema design, query optimization, and performance tuning.
Advanced SQL skills and experience working with large datasets.
Hands-on experience with ETL and data integration tools such as SSIS, AWS Glue, or similar technologies.
Experience building and maintaining reporting solutions using SSRS, Power BI, QuickSight, or comparable analytics platforms.
Experience with AWS services such as EC2, S3, Lambda, ECS, and cloud-based data solutions.
Proficiency with modern web development frameworks.
Experience developing and consuming RESTful APIs.
Strong understanding of software design patterns, object-oriented design, and best practices.
Experience with source control systems such as Git.
Excellent problem-solving, analytical, and communication skills.

Experience with microservices architecture and domain-driven design.
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
Experience implementing CI/CD pipelines and DevOps practices.
Experience with NGRX, RxJS, NX, and Micro-Frontend architectures.
Exposure to machine learning, predictive analytics, or AI-driven solutions. Familiarity with AI assisted coding is a plus.
Familiarity with Ruby on Rails is a plus.
Experience working in Agile/Scrum environments.

Responsibilities

~1 min read

→Design, develop, and maintain enterprise applications using .NET Core/.NET Framework and AWS services.
→Build scalable and secure APIs, backend services, and data-driven applications.
→Develop responsive user interfaces using Angular, TypeScript, HTML, and CSS.
→Analyze, process, and manage large and complex datasets from multiple data sources.
→Design and implement data models, ETL processes, and integrations that ensure data quality, reliability, and performance.
→Leverage modern data platforms and analytics solutions to generate actionable business insights and support organizational objectives.
→Write clean, maintainable, well-documented, and thoroughly tested code.
→Participate in code reviews and contribute to engineering best practices.
→Collaborate with product owners, architects, QA engineers, and other stakeholders to deliver high-quality solutions.
→Support CI/CD pipelines, automated deployments, and cloud-native development practices.
→Troubleshoot and resolve software defects, data issues, and production incidents.

C#, .NET Framework, .NET Core
Web development framework - Vue, Angular
SQL

AWS (EC2, S3, Lambda, ECS, Glue)
Data Warehousing and ETL Technologies

PostgreSQL
SQL Server
Oracle

SSRS
Power BI
Amazon QuickSight

Visual Studio
VS Code
Git
Jira

Unit Testing
Integration Testing
Automated Testing Frameworks

REST APIs
GraphQL
Microservices
Event-Driven Architecture
Service-Oriented Architecture (SOA)

The ideal candidate is a software engineer who is equally comfortable writing high-quality .NET code and working with complex data ecosystems. They possess strong analytical skills, understand how to transform data into business value, and can develop scalable solutions that support both operational applications and strategic decision-making.

La fourchette salariale au Canada de ce poste est de 91,661.00$ à 161,700.00$ CA par an, et le titulaire est admissible à des primes, à des actions et à des avantages sociaux. Nos fourchettes salariales sont déterminées en fonction du rôle, du niveau et de l’emplacement. À l’intérieur de la fourchette, la rémunération individuelle est déterminée par le lieu de travail et d’autres facteurs, notamment les compétences liées à l’emploi, l’expérience et les études ou la formation pertinentes. Au cours du processus d’embauche, un recruteur peut fournir des renseignements sur l’échelle salariale particulière d’un lieu de travail donné. Vous trouverez des renseignements complémentaires à https://careers.agilent.com/locations/americas/canada.

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least September 18, 2026 or until the job is no longer posted.

The full-time equivalent pay range for this position is $116,800.00 - $219,000.00/yr USD in the US, or $91,661.00 - $161,700.00/yr CAD in Canada, plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.

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