Senior Data Engineer, Investments Technology - Boston, MA (02108)
May 3 Boston, Massachusetts Liberty Mutual InsurancePosition Description:
Description Senior Data Engineer, Cloud & Core Data Warehouse You must be authorized to work in the United States without employer sponsorship now or in the future.
We will not sponsor employment visas.
Candidates who will require future sponsorship, including candidates on CPT/OPT/STEM OPT who will require future sponsorship, are not eligible to apply.
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.
Youll have the opportunity to work hands-on with emerging AI capabilitiesincluding Snowflakes latest AI Cortex featureswhile leveraging and helping shape the rollout of AI-powered developer tools to accelerate innovation and modernize how we build data solutions.
Youll work in a collaborative, agile environment alongsideengineers, 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 Snowflakes 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 Groups global financial assets across public and private markets.
Ourtechnology 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.
Qualifications Bachelors 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).
About Us Pay Philosophy: The typical starting salary range for this role isdeterminedbya number offactors including skills, experience, education,certificationsand location.
The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market andprovidesan opportunity to progress as employees grow and develop within the role.
Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factorsset forth inthe compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive.
We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions.
This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups.
Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work.
Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being.
To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutualisan equal opportunity employer.
We will not tolerate discriminationon the basis ofrace, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal,stateor local law.
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