Data Analyst / Engineer
Role Summary
We are looking for a hybrid Data Analyst / Engineer for our Consumer Protection Team to transform operational analytics for the consumer protection team to analyze customer and internal data, improving both what our products deliver and how they are delivered. Drive efficiency of the CP organization and enhance effectiveness and reliability of CP products through scalable data pipelines, AI-powered insights, and real-time monitoring. This is a Hybrid position located at our Frisco, USA. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Frisco office and are not offering relocation assistance at this time.
Position Details
About The Role
The anticipated compensation for this position is USD $93,370.00/Yr. - USD $153,400.00/Yr. depending on experience and qualifications.
Job Applicant Privacy Notice
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
We are looking for a hybrid Data Analyst / Engineer for our Consumer Protection Team to transform operational analytics for the consumer protection team to analyze customer and internal data, improving both what our products deliver and how they are delivered. Drive efficiency of the CP organization and enhance effectiveness and reliability of CP products through scalable data pipelines, AI-powered insights, and real-time monitoring. This is a Hybrid position located at our Frisco, USA. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Frisco office and are not offering relocation assistance at this time.
Position Details
About The Role
- Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
- Drive and optimize data insights and solutions leveraging AI/ML.
- Design solutions to combine data sources, external and internal, to drive enhanced consumer experience.
- Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems.
- Build real-time dashboards for monitoring product health and operational issues, while ensuring data quality and integrity.
- Ensure seamless AI integration across a polyglot codebase (Android, iOS, macOS, Windows).
- You should have 5+ years of Data Engineering experience and 1+ year of hands-on AI/ML experience.
- Experience with Spark, Kafka, ETL pipelines, and data warehouse like Databricks.
- Experience with databases: SQL and NoSQL (PostgreSQL, MongoDB, Redis).
- Knowledge of cloud platforms: AWS, Azure, or GCP with a focus on AI/ML services.
- Experience in API development (REST, GraphQL) and real-time systems.
- Cybersecurity platform knowledge and MCP implementation experience.
- Critical thinking skills to evaluate trade‑offs, solve complex data problems.
The anticipated compensation for this position is USD $93,370.00/Yr. - USD $153,400.00/Yr. depending on experience and qualifications.
Job Applicant Privacy Notice
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
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