Big Data Engineer Principal

Orlando, FL, US • Posted 7 hours ago • Updated 7 hours ago

Full Time

On-site

SAIC

Fitment

Dice Job Match Score™

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Job Details

Skills

ProVision
Training
DoD
SQL
Python
Military
Data Engineering
Extract
Transform
Load
Semantics
Modeling
Ontologies
Graph Databases
Meta-data Management
Use Cases
Adobe AIR
Security Clearance
Application Development
Interfaces
Cloud Computing
Big Data
Data Mapping
Data Management
Collections
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2611025

Location: Orlando, FL, US

Date Posted: 2026-04-06

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is seeking an experienced Big Data / Parametric Data Engineer to support an Air Force program out of Orlando, FL.

(This is an onsite position, with no option for remote work).

You must possess an Active Security Clearance to qualify for this position.
Job Duties / Responsibilities:

Ensure parametric datasets established for supporting training and readiness comply with the Department of the Air Force (DAF) Data Fabric initiatives as well as the DoD Data Strategy, DAF I-Plan, and AFAMS Data Concept Plan.
Provision parametric data services for Air Force Training Simulation Centers:
Leverage commercial technology to the maximum extent possible and shall align work with the existing DAF Data Fabric initiative, to include the mandatory use of one of the top five big data platforms: Envision, VAULT, ELICSAR, Unified Data Library, and SIGNUS.
Test data services for the community to access parametric data addressing an agreed upon Source of Truth (ASoT) Dataset for the Training Simulation Centers.
- Provision data services for the community to access parametric data; Make data: Visible, Accessible, Usable, Linked, Trusted, Interoperable, and Secure for the AF Training Simulation Centers.
Support tactical data training requirements:
Support government training data efforts at the tactical level to meet integrated training needs.
Support joint/coalition interoperability data efforts to enhance training capabilities.

Qualifications

Bachelor's and nine (9), Masters and seven (7); or relevant years of experience in lieu of degree
Demonstrable expertise or be a subject matter expert in DoD wide parametric data.
Data access capability using SQL and python.
Knowledge of commercial parametric data sources.
Experience using military parametric data in synthetic environments.
Ability to train others on the usage of parametric data.
Data Engineering skill building ETL (Extract-Transform-Load) pipelines to support self-service data capability to the
developer.
Data Interoperability acumen focused on making many siloed data systems work as one.
Semantic modeling and Ontology to support future graph database implementation.
Well Rounded understanding of metadata and its implementation in a data catalog.
Develop trusted authoritative datasets and data products that support varied use-cases.
Understanding the deployment of air-gapped data systems.
Solid understanding of data fabric and data mesh design and architectures.
Wide understanding of legacy and current data systems.
and an Active Secret Security Clearance

Desired Experience:

Data Expert(s) with demonstrated proficiency (e.g., Data Analyst, Data Scientist, Data Engineer, etc.) and the most current Information Technology (IT) and IT/Data mecca experience (e.g., Silicon Valley, Austin, Seattle, Colorado
Springs).
Individual(s) must have previous experience in designing/building data stores or connecting via existing commercial Application Programming Interfaces (APIs) to commercially available data stores and must have previous experience in
planning data lakes to transform and load legacy datasets to enterprise datasets for cloud environments.
Individual(s) must be familiar with the DAF's Data Fabric effort with one of the top five big data platforms: Envision, VAULT, ELICSAR, Unified Data Library, and SIGNUS as starting points for DAF enterprise data transport, data mapping, data prep, and/or data aggregation effort.
- Individual(s) must be Certified Data Management Professionals (CDMP) accredited by the Data Management Association (DAMA) International.
Individual(s) shall have first-hand experience with data services platforms to control data assets and guide the aggregation of large and disparate collections of enterprise data.
Individual(s) must have hands-on experience demonstrating, within one project, the ability to handle large data assets across various commercial industries that created new opportunities previously not realized.?

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: 2611025
Posted 7 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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