обновлено 7 дней назад
Engineer III - Platform Data Engineer (Remote)
120 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineer III - Platform Data Engineer (Remote) (Airflow/Terraform/Python): Architecting, deploying, and operating the core data infrastructure and platform services powering CrowdStrike’s analytics ecosystem with an accent on reliability, scalability, security, and performance. Focus on production administration of Airflow and Superset, infrastructure-as-code, CI/CD, data modeling with DBT and OpenMetadata, and platform automation.
Location: USA - Remote, NY. U.S. citizenship or Green Card/permanent resident status is required for CJIS clearance, and the role includes periodic additional background and fingerprint checks.
Base salary: $120,000–$180,000 per year, plus potential bonuses, equity grants, health insurance, 401(k), and paid time off.
Company
CrowdStrike is a cybersecurity company building an AI-native platform that protects organizations and processes nearly 3 trillion events per day.
What you will do
- Architect, deploy, configure, and administer core data platform tooling, including Apache Airflow and Superset.
- Manage infrastructure-as-code for data platform components using Terraform.
- Build and maintain CI/CD pipelines for platform services and data workflow deployments.
- Implement platform security, access controls, and compliance standards.
- Develop data models with DBT and catalog assets in OpenMetadata.
- Write Python automation and data-processing code while mentoring junior engineers and providing technical leadership.
Requirements
- Eligibility for CJIS clearance, requiring U.S. citizenship or Green Card/permanent resident status.
- Bachelor’s degree in Computer Science or a related field.
- 5+ years of combined infrastructure and data engineering experience, including 5+ years of advanced Python programming.
- Expertise deploying and administering Apache Airflow and strong experience managing Superset or similar BI platforms.
- Cloud expertise across AWS, GCP, Azure, or OCI, including IAM, networking, and managed services.
- Experience with infrastructure-as-code, Kubernetes and/or Docker in production, DBT, OpenMetadata, SQL, data modeling, security, compliance, and AI technologies.
Nice to have
- Master’s degree in a relevant field.
- Cybersecurity data experience.
- Open-source contributions.
- Knowledge of machine learning pipelines.
Culture & Benefits
- Remote work with flexibility and autonomy.
- Health and physical and mental wellness programs.
- Competitive vacation, holidays, and paid parental and adoption leave.
- Professional development opportunities.
- Employee networks, geographic neighborhood groups, and volunteer opportunities.
- Compensation includes bonuses, equity awards, and a comprehensive benefits package.
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