## 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 EntityMorningstar Chicago, Illinois, USA Office
Morningstar Global Headquarters Office
22 West Washington Street, Chicago, IL, United States, 60602
Morningstar’s Chicago office is the company’s headquarters, bringing together teams across research, technology, product, sales, corporate functions, and more. Employees work in a mission-driven culture shaped by independent thinking, openness, and fact-based decision-making, with the energy of a downtown location and opportunities to connect across teams.
Software Engineering
Software engineers at Morningstar build and maintain the applications that power the firm's work, and they do it in a culture built on independent thinking, evidence-based decisions, and continuous learning. Engineers are trusted to bring their own perspective and judgment to how the work gets done. That's not incidental to the culture here; it's central to it.
Product Manager
Product managers at Morningstar sit at the center of decisions that shape what gets built, and how it works. In Chicago, product managers work across areas including Credit Ratings; Data, Analytics & Research; Indexes; Investment Management & Services; and Corporate. Product managers are trusted to define what problems are worth solving and bring their own judgement to every stage of the process.
Research
Research at Morningstar spans markets, asset classes, and disciplines, all connected by the same purpose: give investors what they need to make confident decisions. Our independent research covers equities, managed investments, fixed income, alternatives, private markets, ESG and climate, and credit ratings. Analysts bring their own judgment to complex questions, and that independence is central to how the work gets done.
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