Data-Driven Systems Engineer | Build Scalable Data Pipelines

Convirgence; United States; On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance premium covered

401(k) matching

Tuition reimbursement

Paid time off

Job summary

Convirgence is seeking a Systems Engineer with a Data Engineer background to design data models, build warehouses and automate pipelines. Responsibilities include securing data flows and enabling accessible datasets across complex environments.

The role emphasizes integrating diverse data streams, managing data feeds, and leveraging Splunk to monitor and analyze network and system logs for actionable insights.

Qualifications

• Experience integrating diverse data streams.
• Establishes data standards and acts as custodian of IT datasets and streams.
• Experience in analyzing complex networks and systems.
• Experience in analyzing log data from network components and OS.
• Knowledge of environments with shared networks and multiple security enclaves.

Responsibilities

• Design data models, build data warehouses and data lakes.
• Automate data pipelines and optimize data flow within security boundaries.
• Capture, model, store and deliver data for enterprise use.

Skills

Data integration

Data standards

Networks & systems analysis

Log data analysis

Security enclaves

Data feeds troubleshooting

Splunk familiarity

Python

Education

SecDevOps awareness

Tools

NiFi

Cribl

Splunk

Job description

Convirgence is seeking a Systems Engineer with a Data Engineer background to design data models, build warehouses and automate pipelines. Responsibilities include securing data flows and enabling accessible datasets across complex environments.

The role emphasizes integrating diverse data streams, managing data feeds, and leveraging Splunk to monitor and analyze network and system logs for actionable insights.