ML Data Engineer (Feature Pipeline & ETL)

McAfee

McAfee, a leader in consumer security solutions, is seeking an ML Data Engineer to join its Consumer ML team. The role focuses on creating robust and scalable data pipelines essential for advanced analytics and personalized user experiences in a remote working environment. This position is crucial for the ongoing development and management of data-driven insights and solutions.

In this role you can expect to have the responsibilities:

• Develop and maintain ML feature engineering pipelines with Databricks.
• Integrate diverse data sources to optimize data quality.
• Build ETL/ELT pipelines following medallion architecture.
• Support ML model training with optimized data pipelines.
• Design low-latency pipelines for real-time model inference.
• Implement CI/CD best practices for pipeline deployment.
• Ensure compliance with data governance and security standards.
• Collaborate with data scientists and other teams.

This role comes with the following benefits:

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement
• Diversity and inclusion programs

This role requires you to have:

• 4+ years in data engineering
• Proficiency in Databricks and medallion architecture
• Strong skills in Python and SQL
• Experience with Apache Spark and low-latency pipelines
• Knowledge of CI/CD practices
• Understanding of data governance and metadata management

You would benefit from having:

• Experience with MLflow
• Familiarity with ML lifecycle

McAfee promotes a diverse and inclusive workplace, offering flexible work hours and various social programs. The company prohibits discrimination on numerous legally protected statuses.