The Group
The Advice Software team within Morningstar Wealth builds industry leading solutions that empower financial advisors to deliver personalized, compliant, and goal based financial advice. Our products leverage Morningstar's trusted investment data, research, and analytics to help advisors make informed decisions and improve client outcomes.
We are focused on building modern, scalable platforms and data solutions that accelerate innovation, improve operational efficiency, and enable the next generation of wealth management products.
The Role
We are building the next generation of our data platform to support revenue management and financial planning applications. This role is focused on developing scalable data pipelines, APIs, and data services using modern cloud technologies.
You will work closely with Product Managers, Architects, and Engineering teams to design and build reliable data solutions that power business critical applications. This is primarily a new development role with opportunities to contribute to platform architecture, engineering standards, and AI enabled development practices.
Responsibilities
Design and develop scalable data pipelines and data services.
Build reliable and efficient data solutions using modern cloud and open-source technologies.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Ensure data quality, performance, scalability, and maintainability.
Contribute to engineering best practices, code reviews, and Agile delivery.
Leverage AI assisted development tools to improve engineering productivity and code quality.
Requirements
Bachelor’s degree in computer science or a related field.
Minimum 2 years of professional experience in Data Engineering or Software Engineering.
Strong programming skills in Python and SQL.
Experience building ETL or ELT pipelines and working with relational databases.
Experience with cloud data platforms and modern data technologies such as Apache Spark, Apache Iceberg, PostgreSQL, DuckDB, Airflow, Kafka, or similar technologies.
Understanding of REST APIs and modern data architectures.
Experience using AI assisted coding tools such as GitHub Copilot, Cursor, or ChatGPT.
Familiarity with Large Language Models and their practical application in software engineering.
Strong problem solving, communication, and collaboration skills.
Experience working in Agile Scrum teams
Preferred Qualifications
Experience with Azure, AWS, or Google Cloud.
Knowledge of Lakehouse architectures and modern open table formats.
Experience with CI and CD, automated testing, and DevOps practices.
Exposure to financial services or enterprise data platforms.
Morningstar is an equal opportunity employer.
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.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal EntitySkills Required
- Bachelor’s degree in computer science or a related field
- At least 2 years of professional experience in Data Engineering or Software Engineering
- Strong programming skills in Python and SQL
- Experience building ETL or ELT pipelines and working with relational databases
- Experience with cloud data platforms and modern data technologies such as Apache Spark, Apache Iceberg, PostgreSQL, DuckDB, Airflow, or Kafka
- Understanding of REST APIs and modern data architectures
- Experience using AI-assisted coding tools such as GitHub Copilot, Cursor, or ChatGPT
- Familiarity with Large Language Models and their practical application in software engineering
- Strong problem-solving, communication, and collaboration skills
- Experience working in Agile Scrum teams
- Experience with Azure, AWS, or Google Cloud
- Knowledge of Lakehouse architectures and modern open table formats
- Experience with CI/CD, automated testing, and DevOps practices
- Exposure to financial services or enterprise data platforms
What the Team is Saying
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time-off policies include flexible PTO and a paid sabbatical every four years, often highlighted as a standout perk. Feedback suggests this structure supports strong work–life balance and meaningful breaks.
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Parental & Family Support — Policies advertise a global minimum of 16 weeks for primary caregivers, up to 8 weeks for secondary caregivers, and at least six weeks of paid caregiving leave. These offerings signal above-average support for family and caregiving needs.
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Retirement Support — Retirement programs feature employer 401(k) contributions/matching, with some postings citing a 75% match on up to 7% of pay. Feedback suggests these offerings are a strong pillar of the package.
Morningstar Insights
What We Do
We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.
Why Work With Us
Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.
Gallery
Morningstar Teams
Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.
