## About the Role
As a Senior Software Engineer, you will work closely with product owners, engineering teams, and technical leads on our next generation data feed platform. This role is primarily focused on building Python-based data pipelines and file-based data delivery systems on AWS. You'll also contribute to building web interfaces for monitoring and configuration of our data feeds.
You will architect and implement solutions for delivering data in various file formats (CSV, Parquet, JSON) to clients through S3, SFTP, and Cloud Data Marketplaces such as Snowflake Marketplace, ensuring solutions are scalable, reliable, and meet enterprise-grade SLAs.
## Key Responsibilities
- Build and maintain Python-based data pipelines on AWS (S3, Lambda, Step Functions, Glue, ECS) for scalable file-based feed generation and delivery.
- Design file delivery mechanisms supporting multiple formats (CSV, Parquet, JSON) with appropriate partitioning, compression, and encryption strategies.
- Implement data quality validation, monitoring, and alerting systems to ensure reliable feed delivery.
- Contribute to migrating legacy feed products to AWS cloud-native architecture and participate in DevOps practices including CI/CD and infrastructure as code.
- Collaborate on building web interfaces for feed monitoring and configuration — willingness to learn and contribute is more important than deep front-end expertise.
- Participate in code reviews, technical documentation, and production support.
## Requirements
### Must Have
- Bachelor's degree in computer science or related field, with 5+ years of software or data engineering experience.
- Experience in Python for building data pipelines, ETL processes, and backend services.
- Hands-on experience with cloud platforms (AWS, Google Cloud Platform, or Azure) including experience with compute, storage, and serverless services for cloud-native data pipelines.
- Experience working with file-based data formats (CSV, Parquet, JSON) and designing reliable data delivery solutions.
- Familiarity with SQL and experience with modern development practices (Git, CI/CD, automated testing).
### Good to Have
- Prior experience with Vue.js, React, or other modern JavaScript frameworks.
- Familiarity with data governance, metadata management, and data lineage concepts.
- Experience in financial services or regulated industries with strict data quality and SLA requirements.
Base Salary Compensation Range$90,489.00-$132,711.00Incentive Target Percentage
12.5% AnnualMorningstar'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.
001_MstarInc Morningstar Inc. Legal EntitySkills Required
- Bachelor's degree in computer science or related field with 5+ years software or data engineering experience
- Experience in Python for building data pipelines, ETL processes, and backend services
- Hands-on experience with cloud platforms (AWS, Google Cloud Platform, or Azure) including compute, storage, and serverless services
- Experience working with file-based data formats (CSV, Parquet, JSON) and designing reliable data delivery solutions
- Familiarity with SQL and modern development practices (Git, CI/CD, automated testing)
- Prior experience with Vue.js, React, or other modern JavaScript frameworks
- Familiarity with data governance, metadata management, and data lineage concepts
- Experience in financial services or regulated industries with strict data quality and SLA requirements
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.
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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.
