Software Engineer -Data Processing Backend

At Morningstar, helping investors is what brings us together and drives our work. We are looking for a Software Engineer who’s an expert with C# .NET and SQL to join our team and grow with us. Every day, you’ll work with team members across disciplines developing products for investors. You’ll interact daily with our product managers to understand our domain and create technical solutions that push us forward. We want to work with other engineers who bring knowledge and excitement about our opportunities. This position is based in our Toronto office.

Job Responsibilities:

• Design, develop, test, and maintain scalable, reliable, and high-performance applications using C#/.NET, SQL Server, and AWS technologies.
• Build and optimize backend services, RESTful APIs, data processing pipelines, and database-driven applications.
• Apply object-oriented design principles, design patterns, and software engineering best practices to deliver maintainable, high-quality solutions.
• Develop and optimize SQL queries, stored procedures, and database operations to improve performance and scalability.
• Leverage AI-assisted development tools, such as GitHub Copilot or equivalent solutions, to improve coding efficiency, debugging, refactoring, unit testing, and code quality.
• Explore and evaluate emerging AI technologies and identify practical opportunities to improve engineering productivity, automation, and application capabilities.
• Participate in code reviews, automated testing, continuous integration, and continuous deployment processes.
• Collaborate with product managers, business analysts, QA engineers, and other development teams to translate business requirements into effective technical solutions.
• Troubleshoot complex technical issues, perform root cause analysis, and implement sustainable solutions.
• Contribute to cloud infrastructure modernization, application performance optimization, and engineering automation initiatives.
• Take ownership of assigned deliverables, proactively identify risks, and drive tasks through completion.
• Participate in a rotating on-call schedule to support production systems and maintain operational reliability.
• Continuously learn, share technical knowledge, and contribute to improving engineering practices across the team.

Qualifications:

• Bachelor's degree in computer science, Software Engineering, or a related technical field, or equivalent practical experience.
• 2+ years of professional software development experience building and supporting production applications.
• Strong programming skills in C# and .NET, including object-oriented programming, asynchronous programming, and application design.
• Strong SQL Server development skills, including T-SQL, stored procedures, query optimization, and database performance troubleshooting.
• Experience developing RESTful APIs, backend services, and database-driven applications.
• Hands-on experience with AWS services such as EC2, Lambda, S3, SQS, API Gateway, ECS, or similar cloud technologies.
• Familiarity with AI-assisted software development tools such as GitHub Copilot, ChatGPT, or equivalent solutions, and an understanding of how to use them effectively and responsibly in development workflows.
• Solid understanding of software design principles, common design patterns, and building scalable and reliable systems.
• Experience with unit testing, automated testing, debugging, and code review practices.
• Familiarity with Git-based source control, CI/CD pipelines, and deployment automation tools such as Harness, AWS CodePipeline, or equivalent technologies.
• Understanding of application security, secure coding practices, and common web application vulnerabilities.
• Experience working in Agile development environments and using collaboration tools such as Jira.
• Strong analytical, problem-solving, organizational, and communication skills.
• Ability to work independently, manage multiple priorities, and collaborate effectively within a cross-functional engineering team

Preferred Skills:

- Python and/or Java Experience
- Machine Learning Familiarity

Incentive Target Percentage

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.