Software Engineer

We are looking for a dedicated Python and AWS Software Engineer to build, optimize, and scale core components of Morningstar’s Data Platform. In this role, you will focus entirely on developing reusable Python libraries, building serverless tools, and writing cloud-native data processing applications. We are looking for proactive problem-solvers who thrive in a fast-paced environment, possess deep expertise in Python and AWS, and can architect modern data solutions that drive our platform forward.

Job Description

Morningstar’s Enterprise Data Platform (EDP) is the central nervous system for consolidating, normalizing, calculating, and distributing Morningstar’s high-quality data. EDP is both the data provider and a core business enabler. The individuals in this group strive to enable faster business growth, achieve better scale, and improve the customer experience by maximizing the full commercial and brand value of our datasets.

As a Python & AWS specialist within our engineering squad, you will write high-performance application code and design backend cloud architectures. You will collaborate with team leads and architects to transition data workloads into highly optimized cloud solutions. The ideal candidate lives and breathes Python, knows the nuances of AWS data and compute services, and is passionate about writing clean, stable, and cost-efficient backend code.

• Python Application Development: Design, build, and maintain robust Python-based backend applications, reusable libraries, and data components.
• AWS Cloud Engineering: Implement and optimize cloud-native software solutions using AWS services, ensuring maximum compute performance and efficient storage/API utilization.
• AI-Driven Engineering: Leverage AI tools explicitly within the Python development lifecycle to accelerate code output, writing high-quality unit tests and documentation.
• Data Code Architecture: Participate in technical design sessions focused on backend Python data systems, data schemas, and cloud-native read/write stability.
• Code Quality & Mentorship: Lead peer code reviews for Python applications, ensuring adherence to PEP 8 standards, object-oriented principles, and robust error handling.

• Primary Language Expertise: 3+ years of professional backend software engineering experience with Python as your primary, daily language. Expert knowledge of Python OOP, scripting, and data manipulation.
• Cloud Platform Expertise: 2+ years of production experience building and deploying applications directly on AWS (utilizing core services such as S3, EC2, IAM, and AWS data/compute environments).
• Python Tooling: Strong familiarity with Jupyter Notebooks, writing queries via SQL, and localized script execution.
• AI Tool Integration: Proven capability using AI coding assistants to optimize the software development lifecycle (SDLC).
• Collaboration & Environment: Experience working within Agile/Scrum sprints alongside backend engineers, utilizing Git/Bitbucket for strict Python version control.
• Soft Skills: Excellent analytical problem-solving abilities, alongside strong written and verbal communication skills.

EOE Statement:

Morningstar is an equal opportunity employer. Morningstar requires 4 days a week working from the office.

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.