Senior Data Engineers
Senior Data Engineers
Posted on :
24-09-2025
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1 Vacancy
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Job Description
Job Role: Senior Data Engineers
Location: Bellevue WA / Frisco TX / Overland Park KS
JD:
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)
Project/Initiative: SIEM Modernization
Work Required
Project/Initiative: SIEM Modernization
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
Employment Type
Full-time
Key Skills
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