Senior Cribl Engineer / Security Data Engineer
New
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TSG Risk ManagementSecurity Data Engineering
Charlotte, NC preferred. Candidates in New York City, Los Angeles, Southern California, or other locations may also be considered.Full-TimeSenior
Salary170,000 - 220,000 USD per year
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Job Details
- Experience
- 3+ years of experience with Cribl LogStream; 2+ years of hands-on experience with Snowflake
- Required Skills
- AWSPythonJavascriptSnowflakeDatabricks
Requirements
- 3+ years of experience with Cribl LogStream administration, configuration, and pipeline development.
- 2+ years of hands-on experience with Snowflake administration, architecture, and data engineering in large-scale enterprise environments.
- Experience designing and supporting large-scale security data ingestion, transformation, and processing pipelines utilizing platforms such as Snowflake and Databricks.
- Experience with scripting languages (e.g., Python, JavaScript) for pipeline automation.
- Experience onboarding and managing enterprise security data within SIEM, security data lake, or security analytics environments.
- Familiarity with OCSF, security data normalization, governance, compliance, and other security telemetry best practices.
- Excellent problem-solving skills, ability to debug complex pipeline issues, and strong analytical thinking.
- Experience designing, creating, and managing Snowflake databases, schemas, tables, views, streams, tasks, stored procedures, and data pipelines.
- Experience with Snowflake Cortex, Snowpark, Python UDFs, stored procedures, and advanced automation frameworks.
Responsibilities
- Develop, implement, and maintain data processing pipelines within Cribl LogStream.
- Configure and optimize data routing, transformation, enrichment, filtering, normalization, and data quality processes.
- Develop and support integrations between Cribl, AWS, SIEM platforms, security analytics tools, and enterprise security lake data platforms.
- Build, troubleshoot, and optimize automated data ingestion and onboarding workflows.
- Onboard and validate security telemetry for SIEM, detection engineering, threat hunting, incident response, and security analytics use cases.
- Collaborate with Security Operations, Detection Engineering, Data Engineering, Infrastructure, and Analytics teams to deliver reliable, scalable, and high-quality data solutions.
- Monitor pipeline performance, resolve issues, and implement continuous improvements.
- Document pipeline configurations, operational procedures, and data flows.
- Develop, create, and maintain Snowflake database objects including databases, schemas, tables, views, streams, tasks, stored procedures, and secure data-sharing configurations.
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