Cribl Data Pipeline Engineer

Insight Global
Richmond, VA, United States
8 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$104,000.0 - $166,400.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Information Engineering IT Management Operational Data Store Cloud Services Data Streaming Systems Integration Grafana Data Management ArcSight Event Correlation Data Pipelines

Job description

Insight Global is seeking a Cribl SME (Principal Engineer, Telemetry & Observability Pipelines) for a top enterprise client. This candidate will serve as a technical leader responsible for designing, implementing, and optimizing large-scale observability and telemetry data pipelines. They will leverage expertise in Cribl, monitoring, AIOps, event correlation, automation, analytics, and enterprise IT operations to ensure critical operational data is delivered to the appropriate systems efficiently, securely, and cost-effectively.

Requirements

Deep expertise with Cribl and telemetry/observability data pipelines

Strong background in observability platforms and monitoring ecosystems

Experience with AIOps, event correlation, and enterprise monitoring tools

Knowledge of automation, analytics, and enterprise IT operations

Data engineering and platform engineering experience

Understanding of security, governance, and data management best practices

Experience designing and optimizing integrations between observability tools and adjacent platforms

Ability to size, manage, and optimize data flows and connectivity between systems

Experience supporting mission-critical, large-scale enterprise environments

Knowledge of infrastructure, hardware, and cloud services that support observability platforms

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

10:40 min

Visualizing Prometheus open metrics using custom Grafana dashboards

Stijn Polfliet · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:53 min

Managing infrastructure limitations with managed Amazon Aurora databases

Dharin Shah Dharin Shah · World Congress 2025

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:04 min

Visualizing Keycloak performance via standard Grafana troubleshooting dashboards

Alexander Schwartz Alexander Schwartz · World Congress 2025

1:43 min

AWS infrastructure stack and data flow pipeline overview

Artem Volk Artem Volk +1 · World Congress 2024

Videos

See all

Related articles

See all