As a Data Engineer at McAfee, you will be responsible for designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software that unlock the full potential of our data assets. This role combines hands-on technical implementation with strategic problem-solving to drive data-driven innovation across the organization.
Requirements
- 5+ years of hands-on experience in developing ETL/ELT pipelines across varied data sources
- Experience with Copilot and Claude Anthropic models to enhance development speed, code quality, and documentation
- Strong programming skills in languages such as Python, Scala, or Java
- Experience with modern data platforms and tools (e.g., Snowflake, Databricks, Apache Spark, Kafka, Airflow)
- Practical knowledge of Model Context Protocol (MCP) to connect enterprise applications and automate data workflows
- Experience with cloud platforms (AWS, Azure, GCP) and their native data services
- Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
- Strong expertise in data integration, transformation, and curation with a focus on quality and consistency
- Experience with real-time data processing and streaming architectures
- Background in data science or analytics, with ability to collaborate effectively with data scientists
Benefits
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement