Principal Data Engineer - Cybersecurity Analytics Lead

CLM Dallas Chapter; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

Liberty Mutual Insurance in Columbus, Ohio seeks a Principal Data Engineer to lead complex data programs in its Global Cybersecurity Data and Analytics team. You will design, build, and govern data architectures, mentor teammates, and deliver data-driven security solutions across the organization.

You'll work with AWS, Azure, GCP, Power BI, Snowflake, and AI-enhanced workflows, translating business needs into scalable data pipelines and actionable insights while upholding data quality and

Qualifications

• Bachelor's or Master's degree in a technical or business discipline; technical degree preferred.
• 8+ years of professional experience in data engineering or a related field.
• Deep knowledge of IT concepts, data governance, and data platform architectures.
• Strong Python, SQL, and data modeling skills with big data exposure.
• Ability to collaborate across levels and communicate findings effectively.

Responsibilities

• Consult on designing and developing complex data programs for ingestion, curation, and provisioning.
• Build data architectures that improve accessibility, governance, and quality of data.
• Collect, cleanse, and transform large data sets to ensure accuracy.
• Develop and maintain data solutions for analytics, reporting, or data science.
• Mentor team members and lead project work streams.
• Create interactive data visualizations and educate stakeholders on insights.
• Apply AI tools to improve speed and scale, while protecting data confidentiality.

Skills

Python

SQL

Pandas

Big data

Communication

Education

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

Tools

Power BI

Snowflake

AWS

Azure

GCP

Airflow

Job description

Liberty Mutual Insurance in Columbus, Ohio seeks a Principal Data Engineer to lead complex data programs in its Global Cybersecurity Data and Analytics team. You will design, build, and govern data architectures, mentor teammates, and deliver data-driven security solutions across the organization.

You'll work with AWS, Azure, GCP, Power BI, Snowflake, and AI-enhanced workflows, translating business needs into scalable data pipelines and actionable insights while upholding data quality and