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!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringETLELTSQLPythonAIMachine Learningdata validationdata integritydata normalization

Soft Skills

collaborationcommunicationexplanation of technical conceptsteamworkadaptability