The Senior Data Engineer will design, build, optimize data pipelines and architecture, mentor junior developers, and improve data solutions in a collaborative agile environment.
Description
Senior Data Engineer
Join our dynamic US Retail Markets Data and Analytics Engineering team as a Senior Data Engineer, where you'll be a technical expert driving innovative data warehouse and pipeline solutions in a fast-paced, agile environment. You'll collaborate closely with Scrum Masters, Product Owners, and engineers to design, build, and optimize cloud-based data architectures using modern data technologies. This role offers the chance to engage in high value data initiatives, enhance your skills, and help shape long-term data strategies that empower our reporting, analytics, and data science communities. If you're passionate about delivering high-quality, scalable data solutions and thrive in a collaborative, continuously learning culture, this is the perfect opportunity to make a meaningful impact to Liberty Mutual's digital transformation.
Job introduction:
The US Retail Markets (USRM) Data and Analytics Engineering team is actively searching for a highly productive Senior Data Engineer for a distributed, dynamic agile team to serve as a technical expert designing, developing, analyzing & testing innovative data warehouse reporting solutions. This candidate will join an energetic and engaged Business Data Solutions Engineering team focused on delivering exceptional value to our Personal and Small Commercial Policy, Pricing and Underwriting business partners. You will work collaboratively in an agile squad designing and building data pipelines & workflows, ingest, curate & provision data in a Cloud-based environment as well as own responsibility of thorough end-to-end testing.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and foster a positive work environment. You will have the opportunity to help lead this change as we grow this culture, mindset, and capability.
About the job:
Qualifications:
Additional Qualifications:
Qualifications
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/Benefits
Liberty 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
USD $104000.00 - $194000.00
Senior Data Engineer
Join our dynamic US Retail Markets Data and Analytics Engineering team as a Senior Data Engineer, where you'll be a technical expert driving innovative data warehouse and pipeline solutions in a fast-paced, agile environment. You'll collaborate closely with Scrum Masters, Product Owners, and engineers to design, build, and optimize cloud-based data architectures using modern data technologies. This role offers the chance to engage in high value data initiatives, enhance your skills, and help shape long-term data strategies that empower our reporting, analytics, and data science communities. If you're passionate about delivering high-quality, scalable data solutions and thrive in a collaborative, continuously learning culture, this is the perfect opportunity to make a meaningful impact to Liberty Mutual's digital transformation.
Job introduction:
The US Retail Markets (USRM) Data and Analytics Engineering team is actively searching for a highly productive Senior Data Engineer for a distributed, dynamic agile team to serve as a technical expert designing, developing, analyzing & testing innovative data warehouse reporting solutions. This candidate will join an energetic and engaged Business Data Solutions Engineering team focused on delivering exceptional value to our Personal and Small Commercial Policy, Pricing and Underwriting business partners. You will work collaboratively in an agile squad designing and building data pipelines & workflows, ingest, curate & provision data in a Cloud-based environment as well as own responsibility of thorough end-to-end testing.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and foster a positive work environment. You will have the opportunity to help lead this change as we grow this culture, mindset, and capability.
About the job:
- Work in a dynamic and exciting agile environment with Scrum Masters, Product Owners, and team members to develop creative data-driven solutions with our ETL pipeline that meet business and technical initiatives.
- Analyze, develop, and execute data integration solutions, to manage the information lifecycle needs of an organization.
- Actively participates in and often leads peer development and code reviews within each Agile sprint, with focus on test driven development and Continuous Integration and Continuous Development (CICD).
- Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices.
- Build data architecture and data applications (marts/warehouses) that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data.
- Improve speed to market by focusing on current data needs as well as building out long-term strategic data solutions using AWS, Kafka, Snowflake, SQL, as well as other modern data technologies.
- Design and develop programs and tools to support ingestion, curation, and provisioning of complex enterprise data to achieve analytics, reporting, and data science.
- Demonstrate an open-minded and collaborative approach to creating innovative technical solutions.
- Continuously learn to maintain strong knowledge of technology enablers.
- Mentor new and junior developers.
- Provide successful deployment and provisioning of data solutions to production or other required environments.
- Analyze complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency.
Qualifications:
- Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 5+ years of Data Engineering experience.
- Experience developing back end, data warehouse technology solutions.
- Experience integrating multiple transactional systems with Snowflake for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools. High volume data experience a plus.
- Knowledge of a variety of data platforms including Snowflake, Teradata, SQL, DB2 (Cloud based DB a plus).
- Experience with AWS (such as S3, Snowflake, Athena), Unix, Informatica (IDMC) and strong SQL skillset.
- Extensive knowledge of IT concepts, strategies, methodologies.
- Experience working with agile methodologies (Scrum, Kanban, XP) and cross-functional teams (Product Owners, Scrum Masters, Developers, Test Engineers).
- Well versed in diverse technologies and new technical architecture principles and concepts.
- Must be proactive, demonstrate initiative, and be a logical thinker.
- Must be team oriented with strong collaboration, prioritization, and adaptability skills required.
- Strong negotiation, facilitation, and consensus building skills.
- Strong oral and written communication skills; presentation skills; Extensive knowledge of the following: IT concepts, strategies, methodologies.
- Extensive consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements.
- Extensive understanding of backlog tracking, burndown metrics, and incremental delivery
- Strong collaboration, prioritization, and adaptability skills required.
Additional Qualifications:
- Java, Ruby, NoSQL, Python development experience.
- AI/ML experience
- Understanding Cloud / Hybrid data architecture concepts.
- Understanding of insurance industry and products.
- Excited by trying new technology and learning new tools.
Qualifications
- Bachelor or Master`s degree in technical or business discipline or equivalent experience
- Generally 5+ years of professional experience
- Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms
- Strong negotiation, facilitation and consensus building skills
- Strong oral and written communication skills; presentation skills Extensive knowledge of the following: IT concepts, strategies, methodologies
- Versed in diverse technologies and new technical architecture principles and concepts
- Extensive knowledge in layered systems architectures solutions and designs and shared data engineering concepts
- Business function(s) and I/T industry business issues; extensive knowledge of business operations, strategies and objectives
- Extensive understanding of agile data engineering concepts and processes
- Must be proactive, demonstrate initiative and be a logical thinker
- Extensive consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements
- Extensive understanding of backlog tracking, burndown metrics, and incremental delivery
- Strong collaboration, prioritization, and adaptability skills required
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/Benefits
Liberty 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
USD $104000.00 - $194000.00
Top Skills
AWS
ETL
Informatica
Java
Kafka
NoSQL
Python
Ruby
Snowflake
SQL
Liberty Mutual Insurance Boston, Massachusetts, USA Office




175 Berkely Street, Boston, MA, United States, 02116
Similar Jobs at Liberty Mutual Insurance
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
The Principal Gen AI Developer will lead the design and implementation of generative AI features, enhance workflows, and drive innovation across the insurance platform while collaborating with cross-functional teams in a fast-paced environment.
Top Skills:
Apache KafkaAws EcsAws EksAws LambdaAws S3Aws SagemakerGenerative AiJavaKubernetesNode.jsPythonSpring Boot
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
As a Solutions Architect, lead the design of Liberty Mutual's policy platform, ensure architectural integrity, mentor teams, and drive innovation in software engineering solutions.
Top Skills:
AWSAzureCicsGCPIbm MqKafkaRabbitMQ
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
As a Solutions Engineer, you will guide the development of servicing tools for Policy Management, mentor teams, and promote engineering excellence.
Top Skills:
Agile EnvironmentsAPIsCloud-Based ApplicationsContemporary FrameworksDevOpsMicroservicesSecopsWeb Applications
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories