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# Data Engineer

- **Company:** Tixy Services LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** JavaScript (Programming Language), Audit Trail, User Authentication, Cyber Security, Data Validation, Data Governance, Extract Transform Load (ETL), Data Loss, Data Transformation, Data Security, Groovy, Hypertext Transfer Protocols (HTTP), Intrusion Detection and Prevention, Intrusion Detection Systems, JSON, Python (Programming Language), Log Analysis, Open Source Technology, Security Information and Event Management, Data Streaming, Syslog, Extensible Markup Language (XML), Datadog, Data Logging, Dynamic Routing, Scripting, Data Ingestion, Azure Data Factory, Snowflake, Change Tracking, Data Analytics, Apache Kafka, Data Delivery, Splunk, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/b5d4089b-d952-4d83-be7b-ad04f536b70c

## About the Role

* 10+ years of experience in cybersecurity.
 * 5+ years of experience with Cribl, Vector, Datadog, Splunk, or other data pipeline platforms.
 * 5+ years of experience with Python, JavaScript, Groovy, or other scripting languages.

Required Technical Skills

 * Cribl Stream, Vector, Splunk, Datadog, or similar data pipeline tools.
 * Open Cybersecurity Schema Framework (OCSF).
 * Security telemetry ingestion and SIEM integration.
 * Python, JavaScript, or Groovy scripting.
 * Syslog, Kafka, HTTP, Azure Event Hubs, and Blob Storage.
 * Snowflake, Splunk, ADX, Log Analytics, and Anvilogic.
 * Data transformation, enrichment, filtering, and dynamic routing.
 * JSON, CSV, XML, and Logfmt data formats.
 * SSL/TLS, client authentication, data governance, and audit logging.

## Description

* Seeking Senior Data Engineers to design, develop, and manage complex cybersecurity data ingestion pipelines.
 * Responsible for secure, scalable, and reliable data movement across 100+ existing and new security telemetry sources.
 * Work with data ingestion platforms such as Cribl, Vector, and other open-source technologies., * Lead the architecture, design, and implementation of scalable, modular, and reusable data ingestion pipelines using Cribl, Vector, and other open-source platforms.
 * Develop platform-independent ingestion frameworks and reusable templates for multiple data sources and destinations.
 * Implement ingestion from Syslog, Kafka, HTTP, Azure Event Hubs, and Blob Storage.
 * Integrate data with Snowflake, Splunk, Azure Data Explorer (ADX), Log Analytics, and Anvilogic.
 * Implement Open Cybersecurity Schema Framework (OCSF) for schema normalization, field mapping, transformation templates, and schema validation.
 * Develop custom data transformations and enrichment logic using Python, JavaScript, Groovy, or other scripting languages.
 * Implement filtering, enrichment, dynamic routing, and format conversions, including JSON, CSV, XML, and Logfmt.
 * Ensure secure data movement through SSL/TLS, client authentication, input validation, and logging.
 * Maintain end-to-end data traceability and lineage through metadata tagging, correlation IDs, and change tracking.
 * Integrate pipeline health monitoring, transformation failure logging, and anomaly detection.
 * Ensure high-fidelity data delivery with minimal data loss, duplication, and transformation inconsistencies.
 * Lead technical discussions to evaluate and recommend appropriate data pipeline technologies and practices.
 * Maintain centralized documentation for ingestion patterns, transformation libraries, naming standards, schema definitions, and governance procedures.
 * Collaborate with cybersecurity, analytics, and platform teams to support threat detection, compliance, and data analytics requirements.