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Data Ops Engineer VFDE

San Diego, CA, US • Posted 9 hours ago • Updated 9 hours ago

Full Time

On-site

USD $200,001.00 - 240,000.00 per year

SAIC

Fitment

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Job Details

Skills

Security Clearance
Data Quality
Data Manipulation
Visualization
Leadership
Microsoft Excel
Computerized System Validation
JSON
XML
Incident Management
Root Cause Analysis
Real-time
Distribution
Development Testing
Collaboration
Reporting
Scripting Language
Python
Bash
Data Science
Science
Computer Science
Mathematics
Physics
Information Systems
Data Analysis
Docker
Kubernetes
Apache NiFi
Apache Kafka
Grafana
Microsoft Power BI
Operating Systems
Microsoft Windows
Red Hat Linux
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2612348

Location: San Diego, CA, US

Date Posted: 2026-05-08

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest
Visualize, interpret, and report data findings in dynamic reports
Employ a variety of data manipulation and visualization tools to effectively convey current status and historical trends to leadership, users, and data team
Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable
Comfortable working with data in a variety of formats including Excel, CSV, JSON, and XML
Support the incident management process to ensure that incidents documented and resolved quickly. Perform root cause analysis to understand and prevent repeated occurrences of data outages
Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues. Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.
Support the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting.
Demonstrate proficiency with frequent-used scripting language such as Python (primary) or bash commonly used in data science applications and data analytics.

Qualifications

Bachelor of Science required in the following preferred fields: Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology
Minimum five (5) years of data analysis/engineering

Tools

Apps/Platforms: Docker/Podman, Kubernetes, Helm, NiFi, Kafka, Grafana, Prometheus, InfluxDB, PowerBI
Operating Systems: Windows, Linux (RedHat)

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111346
Position Id: 2612348
Posted 9 hours ago

Company Info

About SAIC

SAIC® is a premier Fortune 500 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, civilian and intelligence markets include 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 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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