Principal Data Engineer - Global Cybersecurity Data & Analytics

Posted 3 Hours Ago
Be an Early Applicant
5 Locations
Hybrid
120K-225K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Join us, and pursue your tomorrow, today.
The Role
Leads complex data engineering initiatives for global cybersecurity analytics. Designs data architectures, ingestion pipelines, governance standards, and quality processes; collects and transforms large datasets; develops Power BI visualizations; improves data reliability and accessibility; documents systems; advises stakeholders; mentors team members; and responsibly applies AI tools to improve workflows while protecting confidential data.
Summary Generated by Built In
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.
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

$120,000.00 - 225,000.00

Skills Required

  • 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 emerging technologies and architectural concepts
  • Knowledge of data engineering languages and tools
  • Understanding of data engineering solutions, modeling, governance, and quality
  • Strong negotiation, consensus-building, influencing, facilitation, and adaptability skills
  • Strong oral, written, and presentation skills
  • Ability to collaborate effectively across organizational levels
  • Solid Python, Pandas, and SQL programming skills
  • Understanding of big data technologies
  • Understanding of machine learning principles, statistics, and algorithms
  • Understanding of data warehouse solutions, modeling, and governance
  • Working knowledge of AWS, Azure, and GCP cloud environments
  • Power BI development experience with DAX, M Query, and Power BI Gateway
  • Snowflake administration experience
  • AWS Airflow experience
  • Experience with ETL and data pipeline technologies
  • Experience in data modeling, governance, and analytics
  • Ability to leverage and build APIs
  • Python programming knowledge
  • SQL querying and data management experience

What the Team is Saying

Natalie
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Tyler
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Kemi
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Chase
Ethan
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Liberty Mutual Insurance Compensation & Benefits Highlights

  • Parental & Family Support Parental and family-building support is notably robust, with eight weeks paid bonding for all parents and an additional eight weeks of 100% paid short‑term disability for birth parents. Adoption/surrogacy reimbursement up to $40,000, substantial fertility coverage, and backup childcare reinforce this strength.
  • Retirement Support Retirement programs are positioned as a standout, including a 401(k) that matches 100% of the first 5% per pay period plus an additional 3% annual contribution for eligible employees. A student‑loan “401(k) match” feature further broadens access to company retirement contributions.
  • Wellbeing & Lifestyle Benefits Mental‑health and well‑being resources are emphasized, with 12 free therapy sessions for employees and family members and access to resilience tools. Onsite health centers in Boston and Plano add convenient primary and urgent care access for some locations.

Liberty Mutual Insurance Insights

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The Company
HQ: Boston, MA
40,000 Employees
Year Founded: 1912

What We Do

Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.

Why Work With Us

We offer the agility, work flexibility, project ownership and access to emerging tech you’d expect from a start-up — combined with the stability, resources and benefits that come from working at a leading Fortune 100 company. All in a welcoming, inclusive environment that values the unique insights, perspectives and backgrounds of each person.

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Liberty Mutual Insurance Teams

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Digital & Technology
About our Teams

Liberty Mutual Insurance Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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HQBoston, MA
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Indianapolis, IN
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Plano, TX
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