Real-Time Data Operations Engineer - Pipelines & Observability

Xenith Solutions

Aiea (HI)

On-site

USD 110,000 - 150,000

Full time

5 days ago

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Job summary

Xenith Solutions is seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines for DoD/IC-related data streams. This on-site role in Camp Smith, HI focuses on reliable data flow, quality, and observability to support mission-critical decisions.

You will collaborate with data engineers and analytics teams to ensure low-latency insights and robust systems. The ideal candidate has a strong background in Python, data engineering, and DevOps, with experience

Qualifications

U.S. citizenship and an active TS/SCI clearance.
Bachelor degree in CS, Math, EE, Physics, IS, or IT.
3+ years in data engineering, data operations, or DevOps for production pipelines.
Experience with NiFi, Kafka, Grafana, Prometheus, and Spark/Flink streaming.
Proficient in Python and Bash scripting.

Responsibilities

Design, build, and maintain real-time data ingestion pipelines.
Ensure data quality, observability, and low-latency data for operations.
Build resilient pipelines with backpressure, retries, and error handling.
Create visualizations to convey status and trends to leadership.
Collaborate with data/platform engineers to improve data ingestions.
Work with data in Excel, CSV, JSON, and XML.
Support incident management and root-cause analysis to prevent outages.
Develop and maintain software to monitor real-time feeds and alert issues.
Enforce encryption, authentication, and data classification with security teams.
Demonstrate proficiency with Python and Bash in data science applications.