We are seeking a Senior Google Cloud Data Engineer with a strong background in data engineering and a hands-on approach to driving projects independently from start to finish. This role requires someone who thrives in a proactive environment and can deliver impactful solutions in cybersecurity analytics and anomaly detection. The ideal candidate will have experience in developing dashboards and insights to detect and visualize security threats, including executive-level dashboards.
Comfort with Looker Core, BigQuery, SQL, and Python is essential, along with familiarity in Machine Learning for anomaly detection, alerting mechanisms, and data manipulation. This position is onsite in Greater New York City area 3 days per week, and remote 2 days per week. Role responsibilities 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. Build fault-tolerant, self-healing, adaptive, and highly accurate streaming and batch data pipelines on GCP.
Perform data manipulation and analysis to support threat detection and reporting. Collaborate closely with cross-functional teams to ensure data quality, availability, and reliability across cloud environments. Develop and maintain technical documentation for all assigned systems and projects.
Must have qualifications To be considered for this role, you must meet the following essential qualifications: Candidates must be legally authorized to work in the United States and must hold either U.S. citizenship or lawful permanent resident (Green Card) status. Strong expertise in: Python – for building data pipelines, processing tasks, and automation SQL – Advanced SQL capabilities (nested fields, analytic functions). Hands-on experience with Core GCP Data Stack: BigQuery: Expert-level SQL, performance tuning, and specifically
