Honolulu Real-Time Data Operations Engineer: Secure Ingest

SAIC; Honolulu (HI); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

SAIC seeks a Data Operations Engineer in Honolulu, HI to design real-time data ingestion pipelines across security domains using cross-domain solutions and guards. You will ensure data quality, observability, and scalability while collaborating with data engineers, platform engineers, analytics teams, and security/governance personnel to meet transfer policies.

You will implement resilient pipelines with NiFi/REST APIs, monitor data quality with Grafana/Prometheus, and automate monitoring

Qualifications

• U.S. Citizenship and an active TS/SCI clearance.
• Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, Information Technology, or related field.
• 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
• Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications.
• Working knowledge of the Linux (RedHat) command line; familiarity with Windows environments.
• Solid understanding of data engineering fundamentals: data pipelines, streaming architectures, ETL/ELT concepts, and data quality principles.
• Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation.

Responsibilities

• Aid the team in delivering continual data feeds to users and monitoring the health of data quality and overall data ingest.
• Design, build, and maintain resilient real-time/near-realtime ingestion pipelines using Apache NiFi and REST APIs, with appropriate backpressure, prioritization, retries, and error-handling strategies.
• Configure and monitor data flows moving across security domains via cross domain guards/solutions, ensuring data integrity and compliance with transfer policies.
• Parse, transform, validate, and route structured and unstructured data in a variety of formats, including Excel, CSV, JSON, and XML.
• Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey pipeline status, data quality, and historical trends to leadership, users, and the data team.
• Collaborate with platform, software, and other data engineers to (re)configure and continuously improve data ingestion pipeline reliability.
• Develop and maintain software/scripts to automate monitoring of real-time feeds and alert on timeliness, volume, lineage, and distribution data issues.
• Translate learnings from historical pipeline data into actionable steps to improve data ingest reliability and performance.
• Partner with security and governance teams to enforce encryption, authentication, authorization, and data classification requirements across pipelines and cross-domain transfers.
• Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks.
• Document data flows, system configurations, and standard operating procedures.

Skills

Python

Bash

Data engineering

Streaming architectures

Education

Bachelor of Science in Computer Science

Job description

SAIC seeks a Data Operations Engineer in Honolulu, HI to design real-time data ingestion pipelines across security domains using cross-domain solutions and guards. You will ensure data quality, observability, and scalability while collaborating with data engineers, platform engineers, analytics teams, and security/governance personnel to meet transfer policies.

You will implement resilient pipelines with NiFi/REST APIs, monitor data quality with Grafana/Prometheus, and automate monitoring