Software Engineer

The Editorial Automation Software Engineer will be responsible for designing, building, and maintaining scalable software systems that power Morningstar’s data-driven markets journalism. This role focuses on creating reliable, maintainable architecture and tooling that enable editors and data journalists to produce timely, accurate content using Morningstar data. 

You will work closely with data journalists, editors, product managers, and other engineers to translate editorial and business requirements into production-quality software. While the systems you build support editorial workflows, this is fundamentally a software engineering role, with a strong emphasis on scalable system design, code quality, and operational efficiency.

Location: Chicago, IL (Hybrid Policy- 4 days onsite)

Responsibilities

• Design and develop scalable, maintainable architecture that transforms structured financial data into editorial outputs such as full articles, charts, and tables.

• Build and maintain high-quality software that powers automated editorial workflows, including data-focused content creation and publishing integrations with internal Content Management Systems (CMS).

• Write clean, well-tested, and well-documented code following Morningstar engineering standards and best practices.

• Build and maintain event-driven architectures powered by Amazon Web Services such as AWS Lambda, EventBridge, and related services.

• Collaborate with data journalists and editors to understand requirements and deliver tools that are reliable, intuitive, and extensible.

• Improve and refactor existing systems to enhance performance, reliability, and adaptability as data sources and business needs evolve.

• Implement monitoring, logging, and alerting to proactively detect, diagnose, and prevent production issues.

• Ensure data quality and correctness through validation, error handling, and unit testing.

• Participate in code reviews, technical design discussions, and architecture decisions.

• Contribute to planning and estimation for projects supporting editorial automation and markets coverage.

Requirements

• A bachelor's degree in Computer Science, Engineering or a related field

• 3+ years of professional experience developing production-grade applications.

• Strong programming skills in Python, R, or SQL for data analysis and transformation.

• Familiarity with version control (Git) and collaborative development workflows (pull requests, code reviews).

• Experience with software engineering best practices, including test-driven development, automated unit testing and functional testing, and DevOps practices such as continuous integration/continuous delivery (CI/CD).

• Ability to implement workflows that track data/API usage and automation executions. Develop reporting and dashboards to assess the reliability, performance, and operational health of automation tools.

• Experience with AWS compute technologies (Lambda, ECS/ECR, EC2, API Gateway, IAM, S3) is a plus

• Knowledge and practical experience with domain modeling and object-oriented design patterns and principles, such as the SOLID principles.

• Experience supporting data-heavy products or internal tools.

• Strong organizational skills and the ability to manage multiple deliverables in a collaborative team environment.

• Familiarity with financial markets and reporting standards, with the ability to interpret complex data sets, preferred.

• Experience working within an agile environment, preferred.

•  Experience with data visualization tools such as Datawrapper, preferred.

Total Cash Compensation Range

Inclusive of annual base salary and target incentive