Overview
Hybrid4 Days Onsite a week
$50 - $52
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Apache NiFi
Cyber Security
Data Governance
Data Engineer
Cribl
Vector
Job Details
Position - IT Data Center & Cloud Engineer/Architect
Location: Bellevue, WA or Overland Park, KS (Hybrid: 4 Days onsite a week)
Duration: 12 Months Contract
Project Overview:
Overview
We are seeking Senior Data Engineers to lead efforts in orchestrating and transforming complex security telemetry data flows. These individuals will be responsible for high-level architecture, governance, and ensuring secure and reliable movement of data between systems, particularly for legacy and non-standard log sources. There are 100+ data sources including existing and new that are specific to Cyber Security workloads that are in-scope. These tasks will be performed on one or more data ingestion pipelines (Cribl, Vector, NiFi)
Work Required
- 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).
- Ensure full end-to-end traceability and lineage of data across the ingestion, transformation, and storage lifecycle, including metadata tagging, correlation IDs, and change tracking for forensic and audit readiness.
- 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)
- Contribute to and maintain a centralized documentation repository, including ingestion patterns, transformation libraries, naming standards, schema definitions, data governance procedures, and platform-specific integration details.
- Coordinate with security, analytics, and platform teams to understand use cases and ensure pipeline logic supports threat detection, compliance, and data analytics requirements.
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