SecOps Data & Analytics Engineer - North Central region (Remote in the U.S.)
Core
Design and implement data pipelines to collect, route, transform, enrich, govern, and deliver security, observability, and operational data from diverse sources to downstream platforms and teams.
Role type
Senior IC SecOps Data & Analytics Engineer
Builds
Reliable, reusable data pipelines and analytics platforms for security operations
Domain
Cybersecurity / Security Operations / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data pipeline engineering, data ingestion, data transformation, data quality validation, schema mapping, log management, observability, API integration, structured/unstructured data handling, basic scripting (Python/PowerShell/JS), SQL
Preferred skills
Data pipeline/routing certification, Observability certification, Cloud certification, data masking/retention strategies, cloud storage/streaming/logging services, client-facing consulting experience
Technologies
Agents, APIs, webhooks, syslog, object storage, message queues, JSON, XML, CSV, CEF, Python, PowerShell, JavaScript, SQL
Responsibilities
Configure and support data ingestion from applications, infrastructure, cloud services, and security tools; Develop and maintain pipelines that collect, route, filter, enrich, transform, mask, aggregate, and deliver data; Implement parsing, field extraction, schema mapping, and normalization for structured and unstructured data; Validate data completeness, consistency, accuracy, and timeliness while troubleshooting issues; Contribute to reusable pipeline patterns, parsers, and implementation standards; Participate in data architecture assessments and document source inventories and data flows; Execute technical work across multiple client environments; Communicate data-quality issues and technical risks to stakeholders; Support regional delivery priorities and collaborate on SIEM, detection, investigation, or automation requirements