Search the 57 jobs at McAfee

The Legal Counsel, Product role involves providing legal advice and risk management for product lines, partnering with business teams, analyzing customer experience and marketing issues, and managing legal processes and outside counsel. Strong interpersonal skills and experience in technology law are essential.

The Data Analyst will analyze complex data sets to solve business challenges, using advanced statistical techniques and data visualization. The role involves leveraging data to drive business strategies, collaborating with different teams, monitoring metrics, and ensuring data quality.

The ML Data Engineer will develop and maintain feature engineering pipelines using Databricks, manage ETL processes, and ensure optimized data quality and performance. Responsibilities include supporting the ML lifecycle, designing low-latency data pipelines, and collaborating with teams to align data transformation efforts with business needs.

As a Data Scientist at McAfee, you will analyze large datasets to profile and transform data while building customer 360° views. Your responsibilities include using SQL and Python for querying and data analysis, collaborating with stakeholders, and maintaining documentation of data processes.

The Enterprise Data Platform Engineer will manage and oversee DevOps activities on AWS and Databricks, ensuring platform reliability and uptime. Responsibilities include configuration management, data lifecycle governance, quality automation, and adherence to SDLC best practices. The role requires collaboration and thought leadership in platform tools and support for data observability and automation.

Senior Data Curation Engineers at McAfee develop high-quality, curated data products on the Databricks platform. They collaborate with Technical Data Stewards and business end-users, ensuring data products meet specifications and governance standards. Responsibilities include data modeling, aggregation, implementation of ETL/ELT processes, and maintaining data quality.

As a Senior Data Ingestion Engineer, you'll lead the ingestion team, manage ETL/ELT pipelines on the Databricks platform, optimize data pipelines, document integration flows, and ensure compliance with security guidelines. You will also work on data ingestion from various source systems while using tools like Airflow and manage metadata effectively.

The Sr. Manager of BI & Data Visualization will lead a team to design and implement data visualization solutions, oversee reporting capabilities, and drive data democratization by transforming complex data into actionable insights for stakeholders. Responsibilities include managing the development lifecycle of reporting tools, implementing NLQs, and mentoring team members while collaborating with cross-functional teams.

The BI & Data Visualization Developer will design, develop, implement, and maintain reporting solutions to support business decisions. Responsibilities include developing dashboards, collaborating with teams to ensure data quality, and translating stakeholder requirements into technical documentation.

As a Senior Data Architect at McAfee, you will manage the data architecture of the Databricks platform, focusing on data lakehouse design and ETL/ELT processes. You will collaborate with data teams to develop physical models and ensure compliance with security standards while overseeing data curators' work to meet architectural guidelines.

The Senior Data Integration Engineer will integrate data from various sources, manage ETL/ELT pipelines using Databricks, and ensure compliance with security guidelines. Responsibilities include designing ETL/ELT processes, scheduling jobs with Airflow, and documenting data flows. Collaboration with various departments to understand business requirements and monitoring data pipelines is also key to this role.

The Senior Manager of Technical Data Steward will lead a data stewardship team, defining requirements, managing logical data models, and ensuring data quality across the enterprise. Responsibilities include collaborating with business leaders, overseeing data cataloging and access controls, and serving as a point of escalation for data issues.

As a Technical Data Steward at McAfee, you will collaborate with business leaders while managing logical data models and metadata. You'll be responsible for defining technical requirements, overseeing data integrity, and acting as an escalation point for data quality issues, ensuring a high standard of data governance.

As a Senior Data Scientist at McAfee, you will develop and implement ML models focused on dynamic pricing and personalized recommendations to enhance customer experiences. Your responsibilities include creating algorithms to optimize consumer journeys, engineering data pipelines, and collaborating with cross-functional teams to ensure solutions align with strategic goals.

The role involves developing high-quality curated data products using SQL/SparkSQL in the Databricks platform, ensuring alignment with business needs, and adhering to governance standards. It requires collaboration with Technical Data Stewards and documentation of data products, employing Agile methods.

The Senior Manager Data Visualization will design and develop KPI reports and dashboards while collaborating with data teams for data preparation and quality assurance. The individual will monitor reporting systems and apply UI/UX best practices for effective stakeholder engagement and metric documentation.

As a Senior Data Scientist, you will develop innovative ML solutions focused on pricing and recommendations. Your responsibilities include designing and implementing ML models, maintaining data infrastructure, collaborating with cross-functional teams, and conducting controlled experiments to validate solutions.

As a BI / Data Visualization Developer, you will design and develop reports and dashboards, collaborate to ensure data quality, develop queries for reporting, and utilize UI/UX best practices to engage stakeholders and document KPIs.

The Senior Data Scientist role involves developing machine learning-driven solutions focused on security with expertise in LLMs and Generative AI. Responsibilities include applying statistical techniques, building data pipelines, data visualization, and managing data science projects to provide insights and recommendations based on data analysis.

As a C++ Software Engineer, you will develop and debug Windows software for threat protection, drive new features, and participate in the software development lifecycle. You are expected to work collaboratively, mentor juniors, and use tools like Visual Studio for debugging while also leveraging data analysis skills.