Principal Data Engineer - Cybersecurity Analytics (Onsite)

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 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.