Senior Google Cloud Data Engineer (Cybersecurity Analytics)

TL;DR

Senior Google Cloud Data Engineer (Cybersecurity Analytics): Driving projects independently to deliver impactful cybersecurity analytics and anomaly detection solutions with an accent on developing dashboards and visuals. Focus on implementing machine learning models to identify statistical outliers, potential intrusions, and fraudulent patterns in network traffic.

Location: This position is onsite in New York City (Brooklyn area) 3 days per week, and remote 2 days per week.

Salary: $170,000-240,000 annually

Company

hirify.global is the experience innovation company that exists to unlock a better way to experience the world.

What you will do

• Drive projects independently, ensuring timely delivery and high-quality outcomes.
• Lead and execute projects related to cybersecurity, including anomaly detection in data to identify potential security threats.
• Develop dashboards and visuals for operational and executive use, leveraging Looker Core and BigQuery.
• Implement alerting systems to proactively detect anomalies and security issues.
• Design and implement data ingestion and transformation pipelines leveraging Google Cloud Dataflow / Apache Beam and BigQuery for analytics and large-scale querying.
• Implement Machine Learning models (specifically leveraging BigQuery ML or Vertex AI) to identify statistical outliers, potential intrusions, and fraudulent patterns in network traffic.

Requirements

• Strong expertise in Python and SQL.
• Hands-on experience with Core GCP Data Stack: BigQuery, Dataflow (Apache Beam), and Pub/Sub.
• Hands-on experience with Visualization & BI: Looker Core.
• Familiarity with Alerting Frameworks.
• Ability to work independently and drive projects solo with minimal supervision.
• Outstanding soft and communication skills.

Nice to have

• Google Cloud Professional Data Engineer certification.
• Google Professional Machine Learning Engineer certification.
• Google Cloud Professional Cloud Architect certification.
• Bachelor’s or Master’s degree in a quantitative or technical field.
• Working knowledge of cloud architecture components in GCP.

Culture & Benefits

• Flexibility, with remote and hybrid work options (country-dependent).
• Career advancement, with international mobility and professional development programs.
• Learning and development, with access to cutting-edge tools, training and industry experts.
• Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts.

Hiring process

• Talent Acquisition team will review your application.
• If your skills and experience align with the role, we’ll reach out for next steps.
• Your CV should cover key information on relevant experiences and expertise.