Cybersecurity Data Engineer Jobs

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Principal Data Engineer - Global Cybersecurity Data & Analytics

Liberty Mutual Plano, TX

Plano, TX

Today

$120k - $225k/yr Full time Analytics Azure Big Data

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Job Description

Liberty Mutual’s Global Cybersecurity Data and Analytics team is building data engineering and analytics capabilities that strengthen cybersecurity insight and improve decision-making. In this onsite role in Plano, TX, you will serve as a principal technical leader, shaping complex data architecture, governance, pipelines, and visualization solutions that help teams understand patterns, trends, and correlations across large-scale data.

This Principal Data Engineer position focuses on end-to-end delivery, from ingestion and transformation to interactive reporting, with a responsibility to use AI tools effectively and responsibly, including validation of AI outputs and protection of confidential and customer data.

Key responsibilities

Consult on the design and development of complex programs and tools for ingesting, curating, and provisioning 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 support accurate and accessible datasets.
Recommend improvements to data practices and drive those recommendations forward.
Develop strong depth of knowledge in technology enablers and contribute to solution development for key business outcomes.
Document existing processes, organizational structures, architectures, and external systems.
Create interactive and visually engaging data visualizations to surface patterns, trends, and correlations in large datasets.
Advise on Power BI visualization capabilities and functionalities.
Present to and educate a broad audience on how to use visualizations.
Actively use AI tools to increase speed, quality, and scale of work by identifying concrete value-add workflows, critically evaluating and validating AI-generated output, and applying AI responsibly to safeguard confidential and customer data.

Required 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, including new architectural concepts and principles.
Strong knowledge of data engineering languages and tools, with proficiency in new and emerging technologies.
In-depth understanding of layered solution designs, shared data engineering concepts, product features, and security-minded approaches.
In-depth knowledge of business operations, objectives, and strategies, including global business and technology trends in the financial services industry.
Highly developed negotiation, consensus-building, and influencing skills, with facilitation and adaptability to respond to change.
Highly developed oral and written communication skills, including strong presentation abilities.
Ability to collaborate effectively across all levels of the organization.
Solid Python (Pandas) and SQL skills with analytical and critical thinking, including understanding of big data technology.
Understanding of machine learning principles, statistics, and algorithms.
Understanding of data warehouse solutions, data modeling, and governance.
Working knowledge of AWS, Azure, and GCP cloud environments.
Power BI development experience including DAX and M query, plus Power BI gateway knowledge.
Snowflake administration experience.
AWS Airflow experience.
History 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, along with Python and SQL query and data management knowledge.

Technologies you will work with

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 range: USD 120,000 - 225,000 per year

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