Senior Data Engineer, Investments Technology

Senior Data Engineer, Cloud & Core Data Warehouse

At Liberty Mutual Investments Technology, we are building a modern, cloud-based data platform to power investment insights and decision-making across our portfolio. We are seeking a Senior Data Engineer to join our Core Data team, focused on designing and delivering scalable data warehouse solutions in Snowflake on AWS. In this role, you will develop high-quality data pipelines and solutions that enable trusted, accessible data for our investment teams. You’ll have the opportunity to work hands-on with emerging AI capabilities—including Snowflake’s latest AI Cortex features—while leveraging and helping shape the rollout of AI-powered developer tools to accelerate innovation and modernize how we build data solutions. You’ll work in a collaborative, agile environment alongside engineers, analysts, and business partners, helping to shape the evolution of our data platform while contributing to a culture of continuous learning and engineering excellence.

Note: This role will have a hybrid work arrangement in our Boston office (2x per week)

Responsibilities

• Design, build, and maintain scalable data pipelines and data solutions that support analytics and investment insights.
• Develop data provisioning workflows, transformations, and integrations using Snowflake’s cloud-native capabilities in an AWS environment.
• Apply data warehousing best practices, including data modeling, performance optimization, and scalable architecture design.
• Build and enhance ELT pipelines using Snowflake and Python to ensure reliable and efficient data processing.
• Partner with data engineers, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions.
• Support and enhance data quality, governance, and observability practices across the platform.
• Contribute to CI/CD pipelines and deployment processes, improving automation and reliability of data workflows.
• Work with enterprise orchestration tools (e.g., ActiveBatch, transitioning to Stonebranch) to manage and schedule data workflows.
• Participate in code reviews, knowledge sharing, and mentoring, helping to elevate engineering practices across the team.
• Stay current with evolving data engineering tools and practices, and recommend improvements where appropriate.

About Us

Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private markets. Our technology team partners closely with investment professionals to deliver innovative data and analytics solutions that support informed decision-making and long-term growth. We are committed to fostering an inclusive, collaborative environment where employees can grow their careers while making a meaningful impact.

• Bachelor’s degree in a technical or business discipline, or equivalent experience.
• 5+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines and data platforms.
• Strong proficiency in SQL and solid understanding of data modeling and data warehousing concepts.
• Experience with Snowflake and AWS services (e.g., S3, Lambda) in a cloud-based data environment.
• Experience using Python for data transformation, integration, or automation.
• Familiarity with ELT/ETL pipeline development and modern data architecture patterns.
• Experience with CI/CD tools and practices (e.g., GitHub Actions, Bamboo, Jenkins, or similar).
• Experience working with or exposure to workflow orchestration tools.

Highly candidates will also have:

• Experience in investments, asset management, or financial services.
• Familiarity with API-based integrations (e.g., REST services).
• Exposure to data governance, security, and access control practices.
• Experience with modern data tooling (e.g., data observability, cataloging, or transformation frameworks).