Senior Data Engineer architecting and overseeing the implementation of scalable data ecosystems. Driving AI integration into data pipelines while mentoring junior engineers at Red Hat.
About the role
- Data Engineer working on enhancing security data visibility within Red Hat’s product security team. Building data pipelines and integrating AI for data workflows, based in North Carolina.
Responsibilities
- Design and build robust data pipelines (ETL/ELT) to ingest, clean, and normalize security data from various sources.
- Integrate AI and Machine Learning models into data workflows to identify patterns and automate classification.
- Collaborate with security architects and leadership to generate data views and dashboards reflecting security health.
- Implement automated validation and quality checks to ensure data integrity.
Requirements
- 2+ years of experience in data engineering, software development, or a related field.
- Demonstrated ability to manage large datasets.
- Comfortable writing complex SQL and using programming languages (like Python) to manipulate data.
- Experience with, or a strong passion for, Artificial Intelligence and Machine Learning.
- Ability to explain technical data concepts to non-technical stakeholders.
- A willingness to work in an open, collaborative environment.
- Familiarity with Linux or open source development practices is beneficial.
Benefits
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
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