Morningstar

Senior Data Engineer

Morningstar • $90K — $132K *
Toronto, ON M3C 0E3In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering or related roles
  • Strong hands-on experience with Snowflake including data modeling and performance tuning
  • Proven track record of building end-to-end data pipelines
  • Proficient in Python for data processing
  • Experience with Informatica or similar ETL tools
  • Advanced SQL skills with knowledge of data warehousing concepts
  • Familiarity with AWS cloud services and cloud-based data architectures

Responsibilities

  • Design, build, and maintain end-to-end data pipelines using Snowflake
  • Implement the Medallion Architecture within Snowflake for structured data management
  • Develop data ingestion pipelines with Python and/or Informatica to load data into Snowflake
  • Build scalable data models and transformation logic within Snowflake
  • Leverage Snowflake AI/ML capabilities for advanced analytics
  • Manage SQL scripts, Python code, and Snowflake objects maintainably
  • Support CI/CD processes for data pipelines and monitor performance

Benefits

  • Hybrid work environment with in-person collaboration
  • Flexibility to adapt benefits to changing needs
  • Tools and resources for effective global collaboration
  • Opportunity to work closely in an engaged team environment
  • Encouragement of modern development practices and version control
Full Job Description
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:
  • 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

About Morningstar

Morningstar, Inc. is a leading provider of independent investment research in North America, Europe, Australia, and Asia. The company offers an extensive line of products and services for individual investors, financial advisors, asset managers, and retirement plan providers and sponsors. Morningstar provides data on approximately 530,000 investment offerings, including stocks, mutual funds, and similar vehicles, along with real-time global market data on more than 18 million equities, indexes, futures, options, commodities, and precious metals, in addition to foreign exchange and Treasury markets. Morningstar also offers investment management services through its investment advisory subsidiaries, with more than $200 billion in assets under advisement and management as of December 31, 2020. The company has operations in 29 countries.
Learn more about Morningstar
Size
10,038 employees
Market Cap
$9 billion
Industry
Finance & Insurance
Net Income
$223.6 million
Founded
1984
5 Year Trend
+16.3%
Revenue
$1.3 billion
NASDAQ
MORN
* Ladders Estimates

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