Data Engineer (Op AI)

San Diego, CA, US • Posted 3 hours ago • Updated 3 hours ago

Full Time

On-site

USD $160,001.00 - 200,000.00 per year

SAIC

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Network
ISR
Sensors
Analytical Skill
Workflow
Data Analysis
Algorithms
Collaboration
Data Integration
Data Engineering
Computer Science
Data Science
Mathematics
Statistics
Artificial Intelligence
Security Clearance
Python
Rust
Pandas
R
SQL
Database
SAP BASIS
Testing
Data Architecture
DoD
Performance Tuning
Machine Learning Operations (ML Ops)
Analytics
Machine Learning (ML)
Computerized System Validation
JSON
XML
Apache Parquet
Streaming
Apache Kafka
RabbitMQ
ZeroMQ
Extract
Transform
Load
Apache Airflow
Apache HTTP Server
Snow Flake Schema
Geospatial Analysis
Management
Geographic Information System
ArcGIS
PostGIS
Elasticsearch
Redis
Amazon S3
PostgreSQL
Distributed Computing
Amazon Lambda
Apache Spark
Cloud Computing
Amazon Web Services
Microsoft Azure
Docker
Kubernetes
Cyber Security
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2610656

Location: San Diego, CA, US

Date Posted: 2026-03-25

Category: Information Technology

Subcategory: Database Engr

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Top_Secret

Clearance Level Must Be Able to Obtain: TS/SCI

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is seeking a Data Engineer in support of NAVWAR's Naval Operational Architecture (NOA) program. The Data Engineer will support a transformational, Navy-led network-centric initiative that converges existing systems, automating the correlation of multiple ISR data streams, dramatically reducing the "sensor-to-shooter" timeline. This is a recently awarded contract, funded for five years.

The Data Engineer will support a transformational, Navy-led network-centric initiative that converges existing systems, automating the correlation of multiple ISR data streams, dramatically reducing the "sensor-to-shooter" timeline. This is a recently awarded contract, funded for five years.

Work is performed ON-SITE and we are looking to hire in either one of the following locations listed below and you must be local to one of them:

San Diego, CA

Charleston, SC

Monterey, CA

Washington Liason Office and Pentagon

Fort Carson, CO

Colorado Springs, CO

Denver, CO

There will be up to 15% of travel required for this role

Please view our program page for more information and to view all open positions available:

JOB DUTIES:

Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.
Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.
Design or normalize data to common standards to support interoperability and analytical workflows.
Develop and deploy data pipelines and analytics in real-world applications.
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.
Perform exploratory data analysis, algorithm development, and testing.
Deploy, monitor, and improve data pipelines for operational environments.
Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.
Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.
Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.
Document data processes, pipeline structures, and engineering best practices.

Qualifications

Education and Years of Experience Requirements:

Bachelor's degree in computer science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and eight (8) years of experience in of AI/ML experience in defense or intelligence environments. Years of equivalent experience in lieu of degree to be taken into consideration

Citizenship and Clearance requirements:

No dual citizenship.
Active Top Secret clearance required to start; TS SCI clearance preferred.

Required Skills and Experience:

Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages
3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.
Willingness to travel
100% On Site willingness
Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
Ability to operate in a DDIL office environment
Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.
Candidates should be prepared to complete a coding exercise as part of the interview process.

Preferred Skills and Experience:

Experience with large-scale data architecture across secure DoD or government environments.
Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.
Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning.
Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments
Experience designing and/or normalizing data to common standards to support interoperability across teams/systems.
Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC)
Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ)
Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar)
Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS)
Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.
Experience with distributed computing (AWS Lambda, DASK, Spark).
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)

Target salary range: $160,001 - $200,000. 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: 2610656
Posted 3 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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