Cybersecurity Data Developer 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 is seeking a Principal Data Engineer to lead global cybersecurity data and analytics initiatives 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 evolve data architecture to strengthen accessibility, efficiency, governance, and data quality.
Collect, clean, and transform traditional and big data to maintain accuracy and improve availability.
Recommend improvements to data capabilities and drive implementation forward.
Develop deep expertise in technology enablers supporting data engineering and analytics.
Document existing processes, organizational structures, architectures, and external system integrations.
Contribute to solution development and enhancements tied to key business outcomes.
Create interactive, visually engaging data visualizations that help surface patterns, trends, and correlations across large datasets.
Provide guidance on Power BI visualization capabilities and functionality.
Present and educate a wide range of stakeholders on how to use visualizations effectively.
Actively use AI tools to improve speed, quality, and scale, with documented workflows where AI adds value; critically evaluate and validate AI outputs; apply AI responsibly while protecting confidential and customer data.

Requirements

Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience (technical degree preferred).
Typically 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.
Knowledge of data engineering languages and tools; proficiency with new and emerging technologies.
Strong understanding of layered solutions and shared data engineering concepts and product features, with security-minded approach.
In-depth understanding of business operations, objectives, and strategies, including global business and technology trends in the financial services industry.
Highly developed negotiation, consensus building, influencing, facilitation, and adaptability skills to respond quickly to change.
Highly developed oral and written communication skills, including strong presentation ability.
Ability to collaborate effectively across all organizational levels.
Solid programming skills in Python (Pandas) and SQL, with analytical and critical thinking skills and an understanding of big data technologies.
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 including DAX and M query, plus Power BI gateway.
Snowflake administration experience.
AWS Airflow.
Experience with ETL and data pipeline technology.
Proven experience in data modeling, governance, and analytics.
Ability to leverage and build APIs, including Python and SQL for data management.

Required 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

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