Principal Data Engineer - Global Cybersecurity Data & Analytics

Liberty Mutual Insurance; Plano (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Liberty Mutual Insurance is seeking a Principal Data Engineer in a hybrid Plano, TX hub to advance the Global Cybersecurity Data and Analytics practice. You will design data architectures, build scalable pipelines, and deliver data-driven insights for security decision-making.

You will mentor teammates, work across IT and security teams, and help govern data quality. The role emphasizes analytics, reporting, and AI-enabled improvements in a large Fortune 100 environment.

Qualifications

• Bachelor's or Master's degree in a technical or business discipline or equivalent experience, technical degree preferred
• Generally, 8+ years of professional experience
• In-depth knowledge of IT concepts, strategies and methodologies
• In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles
• Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies

Responsibilities

• Consults on designing and developing complex programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting and data science.
• Builds and designs data architecture that improve accessibility, efficiency, governance and quality of data.
• Collects, cleans and transforms traditional and big data to ensure data accuracy and accessibility.
• Makes recommendations for how to improve data and drives those recommendations forward.
• Builds in-depth knowledge of technology enablers.
• Documents existing processes, organizational structures, architectures and external systems.
• Contributes to the development and enhancement of solutions for key business outcomes.
• Develops interactive and visually appealing data visualizations of large amounts of data to reveal patterns, trends or correlations.
• Provides guidance on capabilities and functionalities of Power BI visualization tools.
• Presents to, and educates, a wide range of people on using visualizations.
• Actively uses AI tools to improve the speed, quality and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data.

Skills

Python Pandas

SQL

Power BI

Data Modeling

Communication

Machine Learning basics

Education

Bachelor's or Master's degree in a technical or business discipline

Tools

Snowflake

AWS

Azure

GCP

Airflow

APIs

Job description

Description

We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.

Our Global Cybersecurity Data and Analytics team is tasked with gathering, processing, and analyzing data to provide meaningful insights for informed decision‑making, strategic planning, and operational improvements. We create accurate reports and visualizations that help the organization achieve its objectives, enhance security, and stay competitive. In addition, the data and analytics teams ensure data quality, compliance with regulations, and effective collaboration across departments. By leveraging advanced techniques and tools, they transform data into actionable intelligence that drives both short‑term optimizations and long‑term growth.

NOTE: This role will have a hybrid work arrangement (2x in office) in one of our tech hubs: (Portsmouth, NH/Boston, MA/Columbus, OH/Plano, TX/Indianapolis, IN)

Job Introduction

The Global Cybersecurity Data and Analytics team is seeking an innovative, collaborative Principal Data Engineer to help build and grow our Data and Analytics practice. As a member of the team, you will play a crucial role in delivering innovative data‑driven solutions that enhance our organization’s cybersecurity posture. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, to manage the information lifecycle needs of an organization. Collects, integrates and analyzes data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platforms, databases, analytical/reporting or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Recommends methods to improve data reliability, quality and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members.

Responsibilities

• Consults on designing and developing complex programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting and data science.
• Builds and designs data architecture that improve accessibility, efficiency, governance and quality of data.
• Collects, cleans and transforms traditional and big data to ensure data accuracy and accessibility.
• Makes recommendations for how to improve data and drives those recommendations forward.
• Builds in‑depth knowledge of technology enablers.
• Documents existing processes, organizational structures, architectures and external systems.
• Contributes to the development and enhancement of solutions for key business outcomes.
• Develops interactive and visually appealing data visualizations of large amounts of data to reveal patterns, trends or correlations.
• Provides guidance on capabilities and functionalities of Power BI visualization tools.
• Presents to, and educates, a wide range of people on using visualizations.
• Actively uses AI tools to improve the speed, quality and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI‑generated output; and applies AI responsibly, protecting confidential and customer data.

Qualifications

• Bachelor's or Master's degree in a technical or business discipline or equivalent experience, technical degree preferred
• Generally, 8+ years of professional experience
• In‑depth knowledge of IT concepts, strategies and methodologies
• In‑depth knowledge of diverse and emerging technologies and new architectural concepts and principles
• Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies
• In‑depth understanding of layered solutions and designs; in‑depth understanding of shared data engineering concepts and product features, as well as security minded
• In‑depth knowledge of business operations, objectives and strategies; in‑depth understanding of global business and technology trends and the financial services industry
• Highly developed negotiation, consensus building & influencing skills, facilitation and adaptability to respond to change quickly
• Highly developed oral and written communication skills; strong presentation skills
• Ability to effectively collaborate with all levels of the organization
• Solid Python Pandas and SQL programming skills with analytical and critical thinking skills with an understanding of big data technology
• An understanding of machine learning principles, statistics and algorithms.
• Understanding of Data Warehouse solutions, modeling and governance

Experience

• Working knowledge of AWS, Azure and GCP cloud environments
• Power BI development (DAX and M query) and Power BI gateway
• Snowflake administration experience
• AWS Airflow
• History of working with ETL (extract, transfer and load) and data pipeline technology
• Proven experience in data modeling, governance and analytics
• Ability to leverage and build APIs
• Python programming knowledge
• SQL query and data management

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.

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 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