The Role
We seek a Senior Software Engineer with 5-8 years of experience in Python and AWS. The role involves creating custom reports, managing data corrections, and automating tasks. Collaboration with teams and excellent analytical skills are essential.
Summary Generated by Built In
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 Entity
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 Entity
Skills Required
- Bachelor's degree in Computer Engineering, Computer Science or related field.
- 5 to 8 years of experience in Python programming.
- Strong proficiency in SQL.
- Hands-on experience with AWS services such as Athena and Aurora.
- Excellent Excel skills including automation techniques.
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
Brandon
Senior Video and Media Production Manager
Kunal Kapoor
CEO
Elizabeth Collins
Chief Strategy Officer
Marie Trzupek Lynch
Chief People Officer
Rod Diefendorf
President and Chief Operating Officer
Christine
Director of Personal Finance and Retirement Planning
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — A recurring paid sabbatical and flexible time off in North America provide substantial time away and are presented as a signature differentiator. The program’s active use alongside paid volunteer days underscores broad time-off options.
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Parental & Family Support — A global standard for paid parental leave plus paid caregiving leave and adoption assistance signals robust family support. These policies are positioned as company-wide standards with location-specific administration.
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Equity Value & Accessibility — A shared ownership program enables converting part of a bonus into RSUs with a company match, adding long‑term value beyond salary. Performance-based RSU awards can further enhance equity outcomes for high achievers.
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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!
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Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
