Senior Data Engineer, Cybersecurity Analytics

Liberty Mutual Insurance; Portsmouth (NH); On-site; USD 140,000 - 190,000; Full time

Job summary

Liberty Mutual Insurance is seeking a Principal Data Engineer to strengthen our Global Cybersecurity Data and Analytics team. You will lead complex data solutions, guide data architectures, and mentor team members while delivering data-driven insights for cybersecurity decision making.

The role emphasizes building scalable data platforms, ensuring data quality, and collaborating across departments to leverage AI and analytics responsibly in a Fortune 100 company.

Qualifications

• Bachelor's or Master's degree in a technical or business discipline or equivalent experience.
• 8+ years of professional experience.
• Knowledge of IT concepts, strategies, and methodologies.
• Knowledge of data engineering languages and tools; proficient in emerging technologies.

Responsibilities

• Consults on designing and developing complex programs and tools to support ingestion, curation, and provisioning of enterprise data for analytics and data science.
• Builds data architecture that improves accessibility, governance, and quality of data.
• Collects, cleans, and transforms traditional and big data.
• Develops data visualizations to reveal patterns and trends.
• Guides capabilities and functionalities of Power BI visualizations.
• Presents and educates stakeholders on data visualizations.

Skills

Data engineering

Python

Pandas

SQL

Data modeling

Big data

Cloud platforms

Power BI

Education

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

Tools

Power BI

Snowflake

Airflow

Python

Job description

Liberty Mutual Insurance is seeking a Principal Data Engineer to strengthen our Global Cybersecurity Data and Analytics team. You will lead complex data solutions, guide data architectures, and mentor team members while delivering data-driven insights for cybersecurity decision making.

The role emphasizes building scalable data platforms, ensuring data quality, and collaborating across departments to leverage AI and analytics responsibly in a Fortune 100 company.