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Tier-1 brand, metro location, mid-level generalist data role with broad required skillset increases competition.
Core data engineering skills transfer well, but cyber incident-response specialization raises domain specificity.
Explicit years plus mandatory PySpark, Databricks and production Python experience create strict filters.
Develop and maintain PySpark data pipelines and shared Python libraries for cyber incident data extraction, validation, and analyst reporting.
Analyze ambiguous and complex source data to identify patterns, explain anomalies, and extract actionable insights for cyber defense incident response.
Build and operate production Databricks jobs, enforce data quality and auditability standards, and create dashboards and visualizations for non-technical stakeholders.
Bachelor’s degree in computer science or related field, or equivalent work experience.
Minimum 5 years in information technology, with at least 3 years in cyber incident management or business continuity.
Strong expertise in PySpark, Databricks (including Unity Catalog, jobs, notebooks), and Python engineering with modular libraries and testing.
Proven skills in data analysis, production job orchestration, and ability to work accurately under pressure with changing priorities.
Experienced in managing complex, ambiguous data environments within cyber incident response contexts.
Strong technical capability in building scalable data engineering solutions and producing outputs accessible to non-technical business users.
Comfortable working in a fast-paced, high-stakes environment requiring cross-functional collaboration and clear communication.