Splunk / Cribl Engineer, Cybersecurity Engineering

AbbVie

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
North Chicago, IL
Salary
$84,500–$162,000 / yr
Posted
88 days ago
Freshness
Confirmed live today
Closes
Jul 31, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $123k
$69k $226k
below market most similar roles pay here above market

This role pays less than 87% of similar roles. Most pay $141,800–$211,262 — the blue band above. At the midpoint, this role pays about $123k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 145 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 140 roles with salary data.

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At a glance

TL;DR · Splunk / Cribl Engineer, Cybersecurity Engineering

As a member of the Cyber Security Engineering team, the Splunk / Cribl Engineer - Cybersecurity Engineering (Hybrid) serves as a Data Engineer focused on expanding data capabilities. This role involves designing and implementing robust streaming and batch data pipelines, normalizing unstructured logs, and building scalable data models to optimize SIEM platform performance. You will manage data integrity, lineage, and capacity planning while integrating disparate security telemetry sources into data warehouses. Key technical requirements include proficiency in Splunk Search Processing Language (SPL), administering Splunk Enterprise, and using regular expressions for parsing. You will also utilize CI/CD pipelines, Git, and database management systems. The work centers on creating structured datasets and automated metrics to provide actionable security insights and long-term hunting capabilities within a complex cybersecurity infrastructure.

What you'll do

  • Design and implement robust streaming and batch data pipelines using message brokers to feed the SIEM.
  • Route, filter, and normalize unstructured logs into structured datasets using observability pipelines.
  • Build scalable data models and enhance standard schemas within data warehousing solutions.
  • Verify data integrity and manage end-to-end data lineage across distributed systems.
  • Integrate disparate security telemetry sources into the SIEM, data warehouses, and other repositories.
  • Execute testing plans, debug pipeline routing issues, and document data flows and integration protocols.
  • Create and support advanced analytics and reporting environments for long-term security hunting.
  • Develop automations for metrics aggregation and dissemination from the SIEM and data warehouses.

What we're looking for

  • Bachelor's Degree with 5 years' experience; or Master's Degree with 4 years' experience.
  • Experience writing and optimizing Splunk’s Search Processing Language (SPL).
  • Proven ability to administer Splunk Enterprise and onboard data sources.
  • Skills in developing data models, dictionaries, and reports within a SIEM platform.
  • Experience building and configuring data pipelines.
  • Experience with regular expressions, parsing unstructured data, and database management systems.
  • Experience with CI/CD Pipelines, Git, and database & system integration technologies.
  • Splunk Certified Admin, Power User, or Architect certification (preferred).

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