SAIC - 4.0

Camp Smith, HI Job Details Full-time $120,001 - $160,000 a year 9 hours ago Qualifications Customer service

Full Job Description Job ID:

2615413

Location:

Camp Smith, HI, US Date Posted:

2026-08-07

Information Technology Subcategory:

Big Data 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 SAIC is seeking an experienced Data Ops Engineer Principal to join our Technical Engineering and Design Department in support of our United States Air Force customer. This position is on-site Honolulu, Hawaii.

Responsibilities Essential Functions/Job Duties:

Develops and implements data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Experience with AI/ML to design, train, test, and deploy AI and ML models to extract insights and predictions from structured, unstructured, and classified data sources. Apply techniques such as natural language processing (NLP), image recognition, neural networks, and predictive analytics to enhance decision-making processes across diverse DoD missions Experience with classified data feeds, ensuring the proper handling of sensitive information to remain compliant with DoD and national security regulations. Implement advanced data pre-processing, cleansing, and security protocols suitable for classified datasets. Visualizes, interprets, and reports data findings in dynamic data reports. Employs a variety of data manipulation and visualization tools to best convey information/results to customers. Supports the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting. Plans and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives. Conduct exploratory data analysis for testing hypothesis

Equipment Used:

Personal Computer (PC) based systems and project related test equipment.

Typical Working Conditions:

General office environment; Computer/Equipment lab

Essential Physical Tasks:

Ability to lift 10 lbs. on an occasional basis. Ability to use a personal computer, keyboard and mouse on a consistent basis. Occasional domestic travel by automobile or airplane is 10% to 25% of the time.

Written Communications:

Operates standard computer-based business tools (including but not limited to Microsoft Word and Excel) effectively. Demonstrates clear and concise written communication skills in a technical format, that will support in the development of all required plans and reports required of the program.

Verbal Communications:

Active communicator - able to present technical briefs, giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate. Ability to lead discussions pertaining to technical subject matter. Qualifications

TYPICAL EDUCATION AND EXPERIENCE

Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Proficiency with programming languages such as Python or R and using packages commonly used in data science applications or advanced analytics such as SQL, Pandas, or Jupyter notebooks. Power BI, Tableau, Grafana or other toolsets to visualize data and share insights with senior decision makers

Operating Systems:

Windows, Linux (RedHat) Comfortable working with data in a variety of formats including excel,

CSV, JSON, XML Customer Interface Activities:

Effective inter-personnel and customer service skills required to interface with corporate customers. Ability to effectively communicate with the Customer, command staff, and peer contractor personnel. Project Management /

Staff Supervision Tasks:

Ability to manage and prioritize tasks to ensure optimum productivity.

Work Schedule:

40 hours weekly The ability to work non-standard work hours and schedules in support of project requirements. Long distance (>500 miles) travel to other US Government and Contractor facilities, as required.

Travel:

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Data Ops Engineer Principal