Data Engineer

Morningstar

Morningstar is searching for a Data Engineer to join their team, where the role involves designing, building, and maintaining scalable data pipelines and infrastructure. This position works closely with data scientists and analysts to ensure data systems meet business requirements, supporting the integration of various data sources and maintaining data quality, security, and performance.

In this role you can expect to have the responsibilities:

• Design and maintain scalable ETL/ELT data pipelines for large data volumes.
• Integrate data from multiple sources into unified storage solutions.
• Collaborate with DevOps on cloud infrastructure management for data storage.
• Optimize data storage, including relational and NoSQL databases.
• Design and implement data models for analytics and reporting.
• Ensure data quality through validation, monitoring, and compliance.
• Collaborate with stakeholders to understand and meet data requirements.
• Monitor performance of data pipelines and employ optimizations.
• Generate and update documentation on data pipelines and architecture.
• Adhere to data engineering best practices such as versioning and automation.

This role comes with the following benefits:

• Hybrid work environment with remote and in-person collaboration.
• Tools and resources for meaningful engagement with global colleagues.

This role requires you to have:

• Proficiency in SQL and experience with relational databases.
• Experience with ETL tools and data warehousing technologies.
• Programming skills in Python, Java, or Scala.
• Knowledge of big data technologies like Apache Spark and Hadoop.
• Experience with cloud platforms and their data services.
• Familiarity with NoSQL databases and data modeling.

You would benefit from having:

• Experience with containerization and orchestration technologies.
• Familiarity with data governance and privacy compliance.
• Knowledge of version control systems and CI/CD practices.
• Experience with monitoring and logging tools.

Morningstar requires personal and related investments to be disclosed to the Compliance team upon accepting an offer. Investments are reviewed for compliance with the Code of Ethics, with potential adjustments needed for conflicts. Some employee accounts must be held with an approved broker based on department and location.