Senior Software Engineer

## 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-$132,711.00 Incentive Target Percentage 12.5% Annual 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. 001_MstarInc Morningstar Inc. Legal Entity

You will build and maintain Python-based data pipelines on AWS to ensure scalable and reliable file-based feed generation. Additionally, you will contribute to web interface development for monitoring and migrate legacy products to cloud-native architectures.

Candidates must have a bachelor's degree in computer science or a related field and at least 5 years of software or data engineering experience. Proficiency in Python, cloud platforms like AWS, and experience with data formats such as CSV, Parquet, and JSON are required.

• Hybrid work environment • Global collaboration tools

• SQLSouhaitée
• CI/CDSouhaitée
• Amazon Web ServicesSouhaitée
• GitSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• AWS
• Data pipelines
• ETL
• S3
• Lambda
• Step Functions
• Glue
• ECS
• SQL
• Git
• CI/CD
• Data delivery
• Cloud-native architecture
• Monitoring
• Cloud-Native Architecture
• Cloud-Native Computing
• Apache Parquet
• Git (Version Control System)
• Snowflake (Data Warehouse)
• Data Lineage
• Willingness To Learn
• Google Cloud Platform (GCP)
• Serverless Computing
• Infrastructure as Code (IaC)
• Amazon Web Services
• Amazon S3
• Software Development
• Test Automation
• Microsoft Azure
• Code Review
• Computer Science
• Data Engineering
• Data Governance
• Extract Transform Load (ETL)
• Data Quality
• Encryption
• DevOps
• Financial Services
• Scalability
• JavaScript Frameworks
• JSON
• Python (Programming Language)
• Metadata Management
• SQL (Programming Language)
• Technical Documentation
• Front End (Software Engineering)
• React.js (Javascript Library)
• Vue.js (Javascript Library)
• Data Pipelines

• Software
• Data & Analytics
• Technology
• Engineering
• Finance & Accounting
• Software Engineer
• Software Developer / Engineer
• Software Developers

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

4 jours par semaine