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Flex R Shiny Developer Jobs in Illinois (NOW HIRING)

Software Engineer

Chicago, IL · Hybrid

$89K - $131K/yr

Strong programming skills in Python, R, or SQL for data analysis and transformation. * Familiarity ... Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses * Tuition ...

Software Engineer

Chicago, IL · On-site

$89K - $131K/yr

Strong programming skills in Python, R, or SQL for data analysis and transformation. * Familiarity ... Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses * Tuition ...

... lot developer. The Company's strategic relationship with D.R. Horton, the nation's largest ... Medical, Dental and Vision 401(K) Employee Stock Purchase Plan Flex Spending Accounts Life ...

Modeling and machine learning Advanced feature engineering Python - pandas, numpy, scikit-learn ... R - dplyr, ggplot, lm, etc. o Version control systems (Git/GitHub) o SQL, PostgreSQL Ability to ...

... engineering • Python - pandas, numpy, scikit-learn • Anaconda, Jupyter notebooks • SQL ... Jupyter notebooks o R - dplyr, ggplot, lm, etc. o Version control systems (Git/GitHub) o SQL ...

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Flex R Shiny Developer information

What are Flex R Shiny Developers?

Flex R Shiny Developers are professionals who specialize in building interactive web applications using R, particularly leveraging the Shiny package. They often focus on creating flexible, user-friendly dashboards and data visualization tools for data analysis and reporting needs. These developers typically have strong skills in R programming, UI/UX design within Shiny, and may integrate other tools or frameworks to enhance app performance and appearance. Their expertise is valuable for organizations that need dynamic data-driven applications, especially in research, healthcare, and business analytics.

What are the key skills and qualifications needed to thrive as a Flex R Shiny Developer, and why are they important?

To thrive as a Flex R Shiny Developer, you need strong programming skills in R, proficiency in building interactive web applications with Shiny, and a solid understanding of data analysis or statistics. Experience with version control systems like Git, familiarity with front-end technologies (HTML, CSS, JavaScript), and knowledge of deployment tools such as Shiny Server or Docker are often required. Effective communication, problem-solving abilities, and the capacity to work collaboratively with stakeholders are valuable soft skills in this role. These competencies are vital for developing robust, user-friendly data applications that meet organizational needs and support effective decision-making.

How does a Flex R Shiny Developer typically collaborate with data scientists and stakeholders during a project lifecycle?

As a Flex R Shiny Developer, you play a key role in bridging the gap between data science teams and end-users or business stakeholders. You'll frequently work alongside data scientists to understand analytical objectives and translate them into interactive Shiny applications that visualize and communicate data insights effectively. Regular collaboration with stakeholders is essential to gather requirements, iterate on user interface designs, and ensure the applications meet user needs. Effective communication and adaptability are critical, as project priorities may shift and requirements can evolve rapidly throughout the development process.

What is the difference between Flex R Shiny Developer vs R Shiny Developer?

AspectFlex R Shiny DeveloperR Shiny Developer
Required SkillsProficiency in R, Shiny, and Flexbox/CSS for responsive designStrong R and Shiny skills, basic CSS knowledge
Work EnvironmentCollaborates with UI/UX teams, often in flexible, dynamic projectsFocuses on developing interactive dashboards primarily in R
Industry UsageUsed in data visualization, analytics, and web app developmentPrimarily in data science, analytics, and reporting

Flex R Shiny Developers specialize in creating responsive, flexible web applications using R and Shiny, with an emphasis on UI design with CSS and Flexbox. R Shiny Developers focus on building interactive dashboards and data apps in R. While both roles require strong R and Shiny skills, Flex R Shiny Developers also have expertise in front-end responsiveness, making them suitable for projects requiring adaptable interfaces.

What are the most commonly searched types of R Shiny Developer jobs in Illinois? The most popular types of R Shiny Developer jobs in Illinois are:
What cities in Illinois are hiring for Flex R Shiny Developer jobs? Cities in Illinois with the most Flex R Shiny Developer job openings:
Infographic showing various Flex R Shiny Developer job openings in Illinois as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

$89K - $131K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 13 days ago


Job description

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

  • 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 plansand coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-termdisabilityinsurance

  • 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 & FormalMentorshipOpportunities

    • 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.