Data Operations Engineer Senior
SAIC Coronado, California, United States
Defense and Space Manufacturing · 10,001+ employees
About the role
Develop and implement data analytics techniques and AI/ML models to extract insights from structured and unstructured data. Visualize findings and support the development of web-based collaboration tools for reporting.
What they look for
Requirements
Requires a Bachelor of Science degree and at least five years of relevant experience in data science or analytics. Candidates must possess an active Top Secret/SCI clearance and U.S. citizenship.
Full description
We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across security domains using cross domain solutions (CDS) / guards. You will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability.
You'll partner closely with data engineers, platform engineers, analytics teams, and security/governance personnel to deliver trustworthy, low-latency data that supports operational decisions — while ensuring compliance with cross-domain and data classification requirements. This position is on-site in Honolulu, HI.
Key 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.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
