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# Senior Technical Lead - Data Engineer (Cybersecurity)

- **Company:** Simarn LLC
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Cloud Database, Cyber Security, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Loss, Data Security, Groovy, Hypertext Transfer Protocols (HTTP), Intrusion Detection and Prevention, Python (Programming Language), Log Analysis, Routing, Parsing, Data Streaming, Syslog, Azure Service Bus, Datadog, Data Processing, Dynamic Routing, Scripting, Data Ingestion, Azure Data Factory, Snowflake, Software Troubleshooting, Data Lineage, Apache Kafka, Splunk, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.nettemps.com/us/en/W9D672F89EDA864DE9E.ntap

## About the Role

The ideal candidate will have strong experience with Cribl, Vector, Splunk, Datadog, or similar data pipeline platforms, along with proficiency in Python, JavaScript, or Groovy., * 10+ years of experience working in cybersecurity.

 * 5+ years of experience with Cribl, Vector, Datadog, Splunk, or similar data pipeline platforms.
 * 5+ years of experience with Python, JavaScript, Groovy, or other Scripting languages.
 * Strong experience in data ingestion, transformation, parsing, enrichment, and routing.
 * Experience handling large-scale security telemetry and multiple log sources.
 * Understanding of secure data processing, schema normalization, and data governance., * Experience with OCSF and security event normalization.
 * Knowledge of Kafka, Syslog, HTTP, and cloud-based data ingestion.
 * Experience with Snowflake, Splunk, ADX, or Log Analytics.
 * Strong troubleshooting, architecture, and technical leadership skills.

Interested candidates

Please share your updated resume along with your relevant experience in cybersecurity data engineering, pipeline platforms, and Scripting technologies.
Location Bellevue, WA, United States of America

## Description

We are seeking experienced Senior Data Engineers to lead the design, development, and implementation of scalable data ingestion and transformation pipelines for cybersecurity telemetry. The role involves managing data flows from 100+ existing and new data sources, ensuring secure, reliable, and efficient data movement across security analytics platforms., * Design and implement scalable, modular, and reusable data ingestion pipelines using Cribl, Vector, and other data pipeline platforms.

 * Integrate and process security telemetry from multiple sources, including Syslog, Kafka, HTTP, Event Hubs, and Blob Storage.
 * Develop reusable ingestion frameworks and templates for consistent data processing.
 * Implement data parsing, filtering, enrichment, dynamic routing, and format conversions.
 * Apply the Open Cybersecurity Schema Framework (OCSF) for security event normalization and schema validation.
 * Develop custom transformations using Python, JavaScript, Groovy, or similar Scripting languages.
 * Ensure secure data transfer, data quality, traceability, and end-to-end data lineage.
 * Monitor pipeline performance, troubleshoot failures, and minimize data loss and duplication.
 * Integrate data with downstream platforms such as Splunk, Snowflake, Azure Data Explorer (ADX), and Log Analytics.
 * Collaborate with cybersecurity, analytics, and platform teams to support threat detection, compliance, and security analytics.