Liberty Mutual Insurance
Senior Cloud Data Engineer, Investments Technology
Liberty Mutual Insurance, Boston, Massachusetts, us, 02298
Description
Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company. Note: This role has a hybrid work arrangement (2x per week) in our Boston, MA office. Job Description At Liberty Mutual Investments Technology, we are seeking a skilled
Senior Data Engineer
who is ready to take on exciting challenges, help shape our cloud-native data platform, and make a real impact across our investment insights. You’ll help build modern, cloud-native solutions and robust data pipelines that power insights across our investment portfolio. This is a high-impact opportunity to grow your career on a supportive, growth-oriented team working on meaningful challenges. Key Responsibilities Work in a Data and Analytics squad to design and build robust data pipelines that deliver high-quality insights to our investment teams. Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. 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. Qualifications
Qualifications 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. Expert-level proficiency in
SQL
and a deep understanding of
data modeling ,
data warehousing , and
data architecture
best practices. 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). Bonus Skills Exposure to the
Investments or Finance domain
is highly desirable. Familiarity with building and consuming
APIs
(e.g., REST, API Gateway). Awareness of
security best practices , including access control, authentication, and secure processing. About Us
Pay Philosophy:
The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an 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 factors set forth in the compensation plan for the role.As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers.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://LMI.co/BenefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco
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Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company. Note: This role has a hybrid work arrangement (2x per week) in our Boston, MA office. Job Description At Liberty Mutual Investments Technology, we are seeking a skilled
Senior Data Engineer
who is ready to take on exciting challenges, help shape our cloud-native data platform, and make a real impact across our investment insights. You’ll help build modern, cloud-native solutions and robust data pipelines that power insights across our investment portfolio. This is a high-impact opportunity to grow your career on a supportive, growth-oriented team working on meaningful challenges. Key Responsibilities Work in a Data and Analytics squad to design and build robust data pipelines that deliver high-quality insights to our investment teams. Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. 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. Qualifications
Qualifications 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. Expert-level proficiency in
SQL
and a deep understanding of
data modeling ,
data warehousing , and
data architecture
best practices. 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). Bonus Skills Exposure to the
Investments or Finance domain
is highly desirable. Familiarity with building and consuming
APIs
(e.g., REST, API Gateway). Awareness of
security best practices , including access control, authentication, and secure processing. About Us
Pay Philosophy:
The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an 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 factors set forth in the compensation plan for the role.As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers.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://LMI.co/BenefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco
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