Liberty Mutual Investments is seeking a Senior Data Engineer to build Data Warehouse solutions in Snowflake, design and build scalable ETL pipelines, and leverage native Snowflake capabilities to deliver high-quality, cloud-based data products that power advanced investment insights and shape the evolution of their modern data platform.
Requirements
- Design and build data provisioning workflows/pipelines, extracts, data transformations, and data integrations using Snowflake cloud-native features in an AWS cloud environment.
- Intermediate experience using Python for data transformation, integration, and automation.
- Hands-on experience with modern public cloud-based data platforms—Snowflake, AWS (e.g., S3, Glue, Lambda).
- Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes.
- Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools).
- Familiarity with building and consuming APIs (e.g., REST, API Gateway).
- Awareness of security best practices, including access control, authentication, and secure processing.
Responsibilities
- Work in a Data and Analytics squad to design and build robust data pipelines that deliver high-quality insights to our investment teams.
- Build and optimize scalable, reliable, high-performance automated data pipelines and solutions using Snowflake and AWS.
- Drive data quality, governance, and observability practices throughout the development lifecycle.
- Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes.
- Contribute to a culture of learning by mentoring junior engineers, participating in code reviews, and promoting engineering excellence and best practices.
- Design and build data provisioning workflows/pipelines, extracts, data transformations, and data integrations using Snowflake cloud-native features in an AWS cloud environment.
- Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools).
Other
- A bachelor’s degree in technical or business discipline, or equivalent experience.
- 5+ years of experience in data engineering, with designing, building, and optimizing scalable data pipelines and architecture.
- Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions.
- Exposure to the Investments or Finance domain is highly desirable.
- This role has a hybrid work arrangement (2x per week) in our Boston, MA office.
