The Role
Design, build, and maintain end-to-end data pipelines and data models in Snowflake using Medallion Architecture. Develop ingestion and transformation logic with Python and/or Informatica, implement CI/CD and version control (Git/Bitbucket), leverage Snowflake AI/ML (Cortex/LLM integrations), monitor and optimize pipelines, and ensure data quality and performance across environments.
Summary Generated by Built In
The Role:
We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should have strong hands-on expertise in Snowflake, modern data pipeline development, cloud platforms, version-controlled development practices, and AI-enabled data solutions.
Key Responsibilities:
Required Skills & Experience:
Nice to Have:
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.
S99_MstarSwedenAB Morningstar Sweden AB Legal Entity
We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should have strong hands-on expertise in Snowflake, modern data pipeline development, cloud platforms, version-controlled development practices, and AI-enabled data solutions.
Key Responsibilities:
- Design, build, and maintain end-to-end data pipelines with Snowflake as the primary data warehouse.
- Implement and support Medallion Architecture within Snowflake for structured and scalable data management.
- Develop data ingestion pipelines using Python and/or Informatica to load data into Snowflake.
- Build scalable and efficient data models and transformation logic within Snowflake.
- Leverage Snowflake AI/ML capabilities (e.g., Snowflake Cortex, AI functions, or LLM integrations where applicable) to enable advanced analytics, automation, and data-driven insights.
- Manage SQL scripts, Python code, and Snowflake objects in a structured and maintainable way.
- Use Git / Bitbucket for version control of Snowflake scripts, Python code, and deployment artifacts.
- Support and implement CI/CD and deployment processes for data pipelines and database changes.
- Monitor, troubleshoot, and optimize data pipelines across all environments.
- Ensure data quality, consistency, and performance across all pipelines.
Required Skills & Experience:
- Minimum 5+ years of experience in data engineering or related roles.
- Strong hands-on experience with Snowflake, including data modeling, performance tuning, and production workloads.
- Proven experience in building end-to-end data pipelines.
- Strong proficiency in Python for data processing and automation.
- Experience with Informatica or similar ETL tools.
- Advanced SQL skills with strong understanding of data warehousing concepts.
- Hands-on experience with Snowflake AI/ML capabilities (e.g., Snowflake Cortex, LLM-based features, or similar AI-driven data platforms).
- Experience using Git / Bitbucket for version control in collaborative environments.
- Basic to intermediate understanding of CI/CD pipelines and deployment workflows.
- Hands-on experience with AWS cloud services and cloud-based data architectures.
Nice to Have:
- Exposure to Agile/Scrum development environments.
- Knowledge of Terraform / Infrastructure as Code.
- Exposure to Tableau or other BI / data visualization tools.
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.
S99_MstarSwedenAB Morningstar Sweden AB Legal Entity
Skills Required
- 5+ years of experience in data engineering or related roles
- Hands-on experience with Snowflake (data modeling, performance tuning, production workloads)
- Design and implement Medallion Architecture within Snowflake
- Proven experience building end-to-end data pipelines
- Proficiency in Python for data processing and automation
- Experience with Informatica or similar ETL tools
- Advanced SQL skills and strong understanding of data warehousing concepts
- Hands-on experience with Snowflake AI/ML capabilities (e.g., Snowflake Cortex, LLM features)
- Experience using Git / Bitbucket for version control
- Basic to intermediate understanding of CI/CD pipelines and deployment workflows
- Hands-on experience with AWS cloud services and cloud-based data architectures
- Exposure to Agile/Scrum development environments
- Knowledge of Terraform / Infrastructure as Code
- Exposure to Tableau or other BI / data visualization tools
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
