Real-Time Big Data Engineer: Ingest & Secure Pipelines

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

Job summary

SAIC in Honolulu, HI seeks a Big Data Engineer to design, build, and maintain real-time and near-real-time data ingestion pipelines that cross security domains using CDS/guards. The role ensures reliable data flow, quality, and observability for mission-critical systems.

You will partner with data engineers, platform teams, analytics, and security/governance to deliver low-latency data while complying with cross-domain and data classification requirements. On-site in Honolulu, Hawaii.

Qualifications

• 9+ years of experience in data engineering or related roles; TS/SCI clearance required.
• U.S. Citizenship and a TS/SCI clearance is required.
• BS degree in CS, Math, EE, Physics, information systems/technology or related field.
• 3+ years of experience supporting production data pipelines; strong scripting skills.

Responsibilities

• Design, build, and maintain real-time/near-realtime ingestion pipelines.
• Ensure data quality, observability, and scalability across domains.
• Collaborate with data/platform engineers and security teams.
• Automate monitoring and alerting for data timeliness and reliability.
• Translate pipeline learnings into improvements and enforce encryption/auth policies.

Skills

Python

Bash

Linux

Data engineering

ETL/ELT concepts

Education

Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, Information Technology, or related field

Tools

Apache NiFi

REST APIs

Grafana

Prometheus

Snowflake

Kafka

JMS

Job description

SAIC in Honolulu, HI seeks a Big Data Engineer to design, build, and maintain real-time and near-real-time data ingestion pipelines that cross security domains using CDS/guards. The role ensures reliable data flow, quality, and observability for mission-critical systems.

You will partner with data engineers, platform teams, analytics, and security/governance to deliver low-latency data while complying with cross-domain and data classification requirements. On-site in Honolulu, Hawaii.