Senior Data Engineer

San Diego, CA, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

USD $160,001.00 - 200,000.00 per year

SAIC

Fitment

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Job Details

Skills

Network
Sensors
Collaboration
Data Analysis
Algorithms
Extract
Transform
Load
Apache Airflow
Apache HTTP Server
Docker
Kubernetes
Security Clearance
Computer Science
Data Science
Mathematics
Statistics
Data Engineering
Python
Pandas
R
SQL
Database
Geospatial Analysis
SAP BASIS
Testing
DoD
ISR
Machine Learning Operations (ML Ops)
Analytics
Machine Learning (ML)
Cloud Computing
Data Architecture
API
Rust
Computerized System Validation
JSON
XML
Apache Parquet
Streaming
Apache Kafka
Amazon Kinesis
RabbitMQ
ZeroMQ
Elasticsearch
Redis
PostgreSQL
Amazon Web Services
Amazon EFS
Amazon RDS
Remote Desktop Services
Amazon S3
Amazon SQS
Distributed Computing
Amazon Lambda
Apache Spark
Snow Flake Schema
Management
Geographic Information System
ArcGIS
PostGIS
Cyber Security
Analytical Skill
Problem Solving
Conflict Resolution
Communication
Military
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2610244

Location: San Diego, CA, US

Date Posted: 2026-03-13

Category: Information Technology

Subcategory: Database Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is seeking a Senior Data Engineer with an Active TS/SCI clearance in support of NAVWAR's Naval Operational Architecture (NOA) program in San Diego, CA. The Senior Data Engineer will to 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 in San Diego, CA. There will be up to 15% of travel required

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

JOB DUTIES:

Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics.
Design, develop, and implement data pipelines and analytics for naval applications.
Perform exploratory data analysis, algorithm development, and testing.
Normalize and structure data to common standards for interoperability.
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.
Develop and deploy data pipelines and analytics in real-world operational environments.
Deploy, monitor, and optimize data pipelines to ensure high performance and reliability.
Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ.
Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark.
Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS.
Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake.
Work with GIS data using ArcGIS, PostGIS, and related tooling.
Implement containerized environments using Docker or Kubernetes.
Apply cybersecurity principles in the context of secure DoD data applications.
Communicate findings and engineering solutions effectively with technical and mission stakeholders.

Qualifications

Citizenship and Clearance Requirement:

U.S. Citizenship required.
No Dual citizenship
Active TS/SCI security clearance required to start.

Education and Certification Requirements:

Bachelor's degree in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics and nine (9) years or Masters and seven (7) years or more of experience.
Equivalent years of relevant experience in lieu of degree will be taken into consideration.
Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract.

Required Skills and Experience:

Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages.
10 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 working with NAVWAR, NIWC Pacific, or naval C2/ISR programs.
Experience architecting data solutions across multi-domain or cross-domain systems.
Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments
Experience with cloud-native data architecture and API design.
Programming experience in Go or Rust.
Proven experience designing, developing, and deploying complex data pipelines.
Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC).
Familiarity with event streaming technologies: (e.g. Kafka, AWS Kinesis, RabbitMQ, ZeroMQ).
Experience deploying, monitoring, and optimizing operational data pipelines.
Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores.
Experience with AWS data services (EFS, RDS, S3, SNS, SQS).
Experience with distributed computing: AWS Lambda, DASK, Spark.
Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake.
Experience managing, integrating, and retrieving GIS data (ArcGIS, PostGIS).
Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)
Strong analytical and problem-solving skills.
Excellent communication skills in a collaborative team environment.
Previous experience supporting government agencies or military organizations.

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: 2610244
Posted 2 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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