Principal Data Engineer - Global Cybersecurity Data & Analytics
TypeFull-time job
LocationUnited States
Posted2 hours ago
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 UsPay 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:
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
Originally posted on Himalayas
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 UsPay 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:
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
Originally posted on Himalayas
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