Senior Data Engineer

Title: Cybersecurity Data Engineer (SIEM Data Pipeline) Location: Remote Description: • Lead the architecture, design, and implementation of scalable, modular, and reusable data flow pipelines using Cribl, Apache NiFi, Vector, and other open-source platforms, ensuring consistent ingestion strategies across a complex, multi-source telemetry environment. • Develop platform-agnostic ingestion frameworks and template-driven architectures to enable reusable ingestion patterns, supporting a variety of input types (e.g., syslog, Kafka, HTTP, Event Hubs, Blob Storage) and output destinations (e.g., Snowflake, Splunk, ADX, Log Analytics, Anvilogic). • Spearhead the creation and adoption of a schema normalization strategy, leveraging the Open Cybersecurity Schema Framework (OCSF), including field mapping, transformation templates, and schema validation logic—designed to be portable across ingestion platforms. • Design and implement custom data transformations and enrichments using scripting languages such as Groovy, Python, or JavaScript, while enforcing robust governance and security controls (SSL/TLS, client authentication, input validation, logging). • Collaborate with observability and platform teams to integrate pipeline-level health monitoring, transformation failure logging, and anomaly detection mechanisms. • Oversee and validate data integration efforts, ensuring high-fidelity delivery into downstream analytics platforms and data stores, with minimal data loss, duplication, or transformation drift. • Lead technical working sessions to evaluate and recommend best-fit technologies, tools, and practices for managing structured and unstructured security telemetry data at scale. • Implement data transformation logic including filtering, enrichment, dynamic routing, and format conversions (e.g., JSON ↔ CSV, XML, Logfmt) to prepare data for downstream analytics platforms. (100 plus sources of data) Experience Required: 1. 10+ Years of experience working in Cybersecurity is Mandatory 1. 5+ Years of experience on CRIBL/Vector/Datadog/Splunk or other data pipeline platforms 1. 5+ Years of experience on JavaScript, Python, or other scripting language.