Search the 30 jobs at McAfee

The Data Analyst will extract insights from complex datasets, create data tools and dashboards, perform statistical tests, and collaborate with teams to optimize marketing strategies. Responsibilities include analyzing marketing performance, monitoring key metrics, and enabling data-driven decisions.

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 Data Engineer will design and implement data solutions, maintain and optimize data pipelines, and collaborate with software engineers and data scientists. Responsibilities include ETL processes, automation of data operations, monitoring data systems, and ensuring data security and compliance.

The Sr. AWS Cloud & DevOps Architect will design and implement scalable cloud solutions using AWS, lead CI/CD pipeline development, and ensure system reliability while optimizing performance and costs. Responsibilities include managing cloud infrastructure, overseeing security best practices, conducting audits, and mentoring team members.

As a Cloud Software Engineer, you will design, develop, and troubleshoot cloud-based applications using various services. Responsibilities include implementing microservices and API platforms, integrating with third-party services, and collaborating with cross-functional teams. The role demands in-depth cloud storage knowledge and debugging complex problems in production environments.

The Senior Data Scientist will focus on developing Machine Learning models for pricing strategies and product recommendations, optimizing consumer experiences through scalable data pipelines, and collaborating with various teams to measure effectiveness of these models through controlled experiments.

The Senior Manager Data Visualization will design and develop reports and dashboards, collaborate with data teams for data quality, interpret data models, and apply UI/UX practices to enhance stakeholder engagement.

As a BI/Data Visualization Developer, you will design and create dashboards and visualizations based on business needs, collaborate with data teams to ensure data quality, and apply UI/UX principles to improve stakeholder engagement. This role demands at least 2 years of experience in data analysis and strong skills in various visualization tools.

The Senior Data Curation Engineer will develop high-quality data products on the Databricks platform, ensuring they meet curation specifications and governance standards. The role involves collaborating with technical data stewards and business users, following Agile methodologies, documenting data products, and implementing change requests.

The Senior Data Scientist will design and implement cutting-edge ML models for consumer pricing and recommendations, develop data pipelines, and collaborate with cross-functional teams to optimize consumer journeys. Responsibilities include creating algorithms, conducting experiments to validate solutions, and maintaining feature stores for scalability and performance.

The C++ Developer will implement new software features for Malware detection, ensuring high quality standards. Responsibilities include innovating detection mechanisms, maintaining compliance, and supporting existing features. Proficiency in C++ coding, debugging, and understanding of Windows programming are essential.

Lead the data quality team to ensure the integrity and quality of McAfee's telemetry and BI data. Responsibilities include performing quality assessments, implementing automated testing processes, conducting audits, and updating documentation related to data quality.

As an Enterprise Data Platform Engineer, you will manage DevOps activities on AWS and Databricks, ensure platform reliability and uptime, oversee Databricks cluster configurations, and implement quality automation. Your role includes maintaining infrastructure for tools like Collibra and Airflow while focusing on data lifecycle governance and access management.

The Partner Product Engineer will engage with large OEM partners to enhance cybersecurity solutions for consumers. This role involves project management, technical troubleshooting, defining test plans, and collaborating with cross-functional teams to streamline processes and ensure product quality.

As a Senior Data Ingestion Engineer, you'll lead the ingestion team, manage ETL/ELT pipelines on the Databricks platform, optimize data pipelines, and ensure security compliance. Expect to work on data ingestion from various sources and utilize tools like Apache Airflow, while also mentoring junior team members.

The Senior Data Curation Engineer will develop high-quality curated data products on the Databricks platform, ensuring adherence to data curation specifications and governance standards. This role includes liaising with data stewards, implementing change requests, and maintaining documentation while following Agile methodologies.

The Technical Data Analyst will work within the Consumer Marketing organization to analyze complex datasets, drive marketing strategies through data insights, and support experimentation and data visualization efforts. Key responsibilities include developing data-driven recommendations, collaborating with stakeholders, and ensuring data quality while optimizing marketing performance.

The Sr. Manager, BI & Data Visualization will lead a team in developing and maintaining data visualization and reporting solutions, transforming complex datasets into actionable insights. This role involves overseeing projects, collaborating with cross-functional teams, implementing NLQs, and driving a data culture of self-service among stakeholders.

The BI & Data Visualization Developer will design, develop, and maintain reporting solutions for business stakeholders. Responsibilities include collaborating with teams to gather requirements, developing SQL queries, and creating visual reports using tools like Power BI and Tableau, ensuring data quality and effective presentation of complex datasets.