The Role
Design, build, and maintain scalable, event-driven software that transforms financial data into editorial outputs. Implement CI/CD, testing, monitoring, and AWS-based integrations to support automated editorial workflows and CMS publishing. Collaborate with data journalists, editors, and product teams to ensure data quality, reliability, and operational efficiency.
Summary Generated by Built In
About the Role
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
Requirements
We're not considering candidates who require sponsorship now or in the future
Total Cash Compensation Range
$89,625.00-131,441.66
Inclusive of annual base salary and target incentive
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
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.
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.
We're not considering candidates who require sponsorship now or in the future
Total Cash Compensation Range
$89,625.00-131,441.66
Inclusive of annual base salary and target incentive
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
- Financial Health
- 100% 401k match up to 6% of salary
- Stock Ownership Potential
- Company provided life insurance - 1x salary + commission
- Physical Health
- Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
- Additional medical Wellness Incentives - up to $300-$600 annual
- Company-provided long- and short-term disability insurance
- Emotional Health
- Trust-Based Time Off
- 6-week Paid Sabbatical Program
- 6-Week Paid Family Caregiving Leave
- Competitive 8-24 Week Paid Parental Leave
- Adoption Assistance
- Leadership Coaching & Formal Mentorship Opportunities
- Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
- Tuition Reimbursement
- Social Health
- Charitable Matching Gifts program
- Dollars for Doers volunteer program
- Paid volunteering days
- 15+ Employee Resource & Affinity Groups
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or 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 and functional testing, and CI/CD
- Ability to implement workflows that track data/API usage and automation executions and build reporting/dashboards for operational health
- Knowledge and practical experience with domain modeling and object-oriented design patterns and principles (SOLID)
- Experience supporting data-heavy products or internal tools
- Strong organizational skills and ability to manage multiple deliverables in a collaborative team environment
- Experience with AWS compute technologies (Lambda, ECS/ECR, EC2, API Gateway, IAM, S3)
- Familiarity with financial markets and reporting standards
- Experience working within an agile environment
- Experience with data visualization tools such as Datawrapper
What the Team is Saying
Anna
Team Lead of Software Engineering
Upasna
Software Engineer, Data Collections - AI R&D
Saurabh
Senior Software Engineer
Wendell
Head of Sales, Institutional Equity Research
Raaghavendar
Associate Software Engineer
Jeff
Head of Technology and Product
Morningstar Compensation & Benefits Highlights
-
Leave & Time Off Breadth — A recurring paid sabbatical combined with flexible time off in North America and regionally set PTO provides substantial time-away flexibility. Paid volunteer days further broaden the time-off offering.
-
Parental & Family Support — A global minimum of paid parental leave for primary and secondary caregivers, along with paid caregiving leave, signals strong family support. Adoption-assistance reimbursement adds another layer of care for growing families.
-
Retirement Support — Retirement programs include employer matching or fixed contributions and free access to Morningstar retirement-planning tools. These elements support long-term savings alongside the broader total-rewards package.
Morningstar Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
Gallery
Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
