About the Role
We are looking for a Senior Software Engineer to drive the design, development, and scaling of our centralized, API-driven data validation platform. This is a hands-on individual contributor role focused on building high-performance, scalable, and intelligent validation systems that process large datasets with speed and accuracy. You will work across backend systems, validation engines, APIs, and data processing pipelines, with opportunities to contribute to AI-driven capabilities such as anomaly detection, rule automation & LLM based capabilities.
Key Skills:
• 5 to 8 years of experience into Python
• Strong proficiency in Python(data manipulation libraries like Pandas, NumPy) with writing clean, maintainable, and testable code.
• Design and develop scalable backend services for data validation.
• Implement high-throughput data processing pipelines.
• Integrate CheckMate with enterprise data systems and pipelines.
• Enable real-time and batch validation capabilities
• Design and implement - Field-level validations, Cross-field and relational rules & Schema and data integrity checks.
• Knowledge of parallel processing and asynchronous execution.
• Knowledge of caching, indexing and efficient data structures.
• Strong knowledge of API integration, and data extraction from both structured and unstructured sources
• Knowledge of distributed computing and data engineering techniques for scalable data processing
• Maintain auditability and traceability in validation workflows.
• Collaborate with Sustainalytics Data Services Digital, Client Services, Business Analysts, Data Engineers teams to deliver timely and accurate outputs.
• Good to have exposure to LLM.
• Good to have knowledge of anomaly detection using algorithms like Isolation Forest or similar.
• Good to have knowledge of SQL for querying and managing relational databases.
• Good to have Excel skills, including formulas, pivot tables, and automation techniques.
• Stay up-to-date with the latest developments in AI, and client facing technologies.
• Bachelor’s degree in Computer Engineering, Computer Science, or related field.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to manage multiple priorities and deliver under tight deadlines. Preferred Skills
• Experience with data visualization tools (Power BI, Tableau).
• Familiarity with version control (Git) and workflow automation.
• Knowledge of financial data and reporting standards is a plus.
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
- 5 to 8 years of experience in Python
- Proficiency in Python including data manipulation libraries (Pandas, NumPy) and writing clean, testable code
- Design and develop scalable backend services for data validation
- Implement high-throughput data processing pipelines
- Integrate CheckMate with enterprise data systems and pipelines
- Enable real-time and batch validation capabilities
- Design and implement field-level, cross-field, relational, and schema data integrity checks
- Knowledge of parallel processing and asynchronous execution
- Knowledge of caching, indexing, and efficient data structures
- Strong knowledge of API integration and data extraction from structured and unstructured sources
- Knowledge of distributed computing and data engineering techniques for scalable processing
- Maintain auditability and traceability in validation workflows
- Bachelor's degree in Computer Engineering, Computer Science, or related field
- Strong analytical and problem-solving skills with attention to detail
- Ability to manage multiple priorities and deliver under tight deadlines
- Exposure to large language models (LLM)
- Knowledge of anomaly detection algorithms (e.g., Isolation Forest)
- Knowledge of SQL for querying and managing relational databases
- Excel skills including formulas, pivot tables, and automation
- Experience with data visualization tools (Power BI, Tableau)
- Familiarity with version control (Git) and workflow automation
- Knowledge of financial data and reporting standards
What the Team is Saying
Morningstar Compensation & Benefits Highlights
-
Leave & Time Off Breadth — A recurring paid sabbatical every four years and flexible time off in North America provide substantial time away from work. A global minimum of six weeks’ paid caregiving leave further extends coverage for personal and family needs.
-
Parental & Family Support — Paid parental leave sets a stated global minimum of 16 weeks for primary caregivers and up to eight weeks for secondary caregivers, with adoption assistance reimbursing eligible expenses. These policies are positioned as global standards that complement broader leave programs.
-
Equity Value & Accessibility — Employees can convert a portion of bonuses or commissions into RSUs with an additional company match on the converted amount. Impact RSU awards in some cases add further upside tied to strong performance.
Morningstar Insights
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.
