Search the 16 jobs at McAfee

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 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.

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.

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 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.

As the Consumer Desktop Experience Product Manager, you will play a pivotal role in developing, enhancing, and managing a suite of consumer-focused desktop applications. Responsibilities include product strategy, market research, product development, performance analysis, security compliance, go-to-market strategies, continuous improvement, and cross-functional collaboration.

The Senior Data Integration Engineer is responsible for integrating data from various sources, managing ETL/ELT pipelines on Databricks, and ensuring compliance and scalability of data pipelines. The role involves collaboration with departments to tailor integration approaches, manage metadata, and conduct pipeline monitoring while adhering to SDLC best practices.

The Technical Data Steward will manage logical data models, oversee metadata, and collaborate with ingestion and curation teams while ensuring data integrity and governance. Responsibilities include developing technical requirements, communicating updates, managing access controls, and acting as an escalation point for data quality issues.

As a Senior Manager, Technical Data Steward at McAfee, you will lead the Enterprise Data Stewardship team, providing mentorship and strategic guidance. You will collaborate with business leaders to define data requirements, manage logical data models, and oversee data quality and access controls.