Principal Data Engineer - Global Cybersecurity Data & Analytics

Liberty Mutual; Plano (TX); On-site; USD 120,000 - 225,000; Full time

Job summary

Liberty Mutual is seeking a Principal Data Engineer for the Global Cybersecurity Data and Analytics team in Plano, TX. This onsite role focuses on designing data ingestion and governance pipelines, building scalable architectures, and delivering impactful analytics across cybersecurity domains.

You will leverage Python, SQL, and Power BI to create actionable insights, while collaborating across teams to implement robust data solutions in AWS, Azure, and GCP environments.

Qualifications

• Bachelor’s or Master’s degree in a technical or business discipline (technical degree preferred).
• 8+ years of professional experience.
• In-depth knowledge of IT concepts, strategies, and methodologies.

Responsibilities

• Consult on design and development of data ingestion, curation, and provisioning for analytics and data science.
• Build data architecture to improve accessibility, governance, and data quality.
• Collect, clean, and transform traditional and big data to maintain accuracy and accessibility.
• Document processes, architectures, and external systems.
• Create interactive visualizations to uncover patterns and trends across large datasets.
• Guide Power BI capabilities and educate audiences on visual analytics.
• Apply AI responsibly to protect confidential data and improve speed/scale.

Skills

Python (Pandas)

SQL

Data engineering concepts

Big data understanding

APIs

Data visualization

Education

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

Tools

Power BI

DAX

M query

Power BI gateway

Snowflake

AWS

Azure

GCP

AWS Airflow

ETL

APIs

Job description

Liberty Mutual is hiring a Principal Data Engineer for its Global Cybersecurity Data and Analytics team in Plano, TX (onsite).

Responsibilities

• Consult on the design and development of complex programs and tools for ingestion, curation, and provisioning of enterprise data for analytics, reporting, and data science
• Build and design data architecture that improves accessibility, efficiency, governance, and data quality
• Collect, clean, and transform traditional and big data to maintain accuracy and accessibility
• Recommend improvements to data processes and drive those recommendations to completion
• Develop deep expertise in technology enablers supporting cybersecurity insights and analytics
• Document processes, organizational structures, architectures, and external systems
• Contribute to development and enhancement of solutions tied to key business outcomes
• Create interactive, visually appealing data visualizations that help uncover patterns, trends, and correlations across large datasets
• Provide guidance on capabilities and functionality of Power BI visualization tools
• Present to and educate diverse audiences on using visualizations and analytics outputs
• Actively use AI tools to improve speed, quality, and scale of work; demonstrate concrete workflows where AI adds value; critically evaluate and validate AI-generated output; and apply AI responsibly to protect confidential and customer data

Requirements

• Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience (technical degree preferred)
• 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, with proficiency in new and emerging technologies
• In-depth understanding of layered solutions and shared data engineering concepts, including security-minded design and product features
• In-depth understanding of business operations, objectives, and strategies, including global business and technology trends in the financial services industry
• Strong negotiation, consensus building and influencing skills, plus facilitation and adaptability to respond to change quickly
• Highly developed oral and written communication skills, including strong presentation ability
• Ability to collaborate effectively across all levels of the organization
• Solid Python (Pandas) and SQL skills, with analytical and critical thinking, and an understanding of big data technology
• 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 using DAX and M query, plus 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 experience

Tools & Technologies

• Python, Pandas, SQL
• Power BI, DAX, M query, Power BI gateway
• Snowflake
• AWS, Azure, GCP
• AWS Airflow, ETL, data pipeline technology
• APIs
• Machine learning

Location: Plano, TX (onsite)
Salary: USD 120,000 - 225,000 per year