SimIS

IT solutions for government and defense

Data Engineer - T&E

Data EngineeringConfirmed live in the last 24 hours

Full-timeNorfolk, VA, USANo salary listed

About the Job

Requirements

A Bachelor of Science degree in Data Science, Computer/Information Science, Information Systems Management, Digitization Management, Management of Information Systems, Mathematics, or Engineering is required.
Four years of demonstrated experience and proficiency in data analysis functions, including data mining, data cleaning, data integration, data reduction and manipulation, data transformation, data visualization, and analysis of small to large data sets.
Demonstrated proficiency in data analysis using a programming or statistical software suite such as R, Python, SAS, SPSS, STATA, Tableau, or Power BI for small to large data sets.
Proficiency in designing, implementing, and operating data management systems to support applicable test data.
Demonstrated experience developing data collection plans, including methods and storage of raw and processed test data.
Experience verifying and validating data collection and accreditation plans in support of test planning.
Experience coordinating equipment necessary to implement data collection during testing.
Knowledge of database management and analysis of structured and unstructured data.
Knowledge of backend database technologies such as SQL, NoSQL, and HPC.
A Certified Analytics Professional certification is listed as a technical qualification.

Responsibilities

Apply current knowledge of Navy and multi-service missions, operations, logistics, management, and organizational responsibilities to plan and organize work tasks.
Support the Operational Test and Evaluation Force in defining, conducting, and analyzing structured operational test and evaluation of U.S. Navy Undersea Warfare systems.
Support successful execution of test planning, data collection, and reconstruction and analysis for complex test and evaluation projects.

Desired Qualifications

Knowledge of incorporating artificial intelligence and machine learning into data analysis software is preferred.

ONSITE

Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position.

Job Description:
SimIS is seeking contractor SME support to provide technical and analytical support to Operational Test and Evaluation Force (T&E) in the definition, conduct, and analysis of structured Operational Test and Evaluation (OT&E) of US Navy Undersea Warfare systems. As the Data Engineer, you will apply current knowledge of the Navy and multi-service missions, operations, logistics, management, and organizational responsibilities to plan and organize work tasks leading to the successful execution of test planning, collecting data, and performing reconstruction and analysis for complex test and evaluation projects.

Required Knowledge, Skills, and Abilities

BS degree in in Data Science, Computer/Information Science, Information Systems Management, Digitization Management, Management of Information Systems, Mathematics, or Engineering.
4 years of demonstrated experience and proficiency in data analysis functions such as data mining, data cleaning, data integration, data reduction/manipulation, data transformation, data visualization, and data analysis of small to large data sets.
Demonstrated proficiency in data analysis in a programming or statistical software suite such as: R, Python, SAS, SPSS, STATA, Tableau, and/or PowerBI for small to large data sets.
Proficient in the design, implementation, and operation of data management systems to support management of applicable test data.
Demonstrated experience in the development of data collection plans to include methods, and storage of raw and processed test data.
Experience in the verification and validation of data collection and accreditation plans in support of test planning.
Experience in the coordination of the equipment necessary to implement data collection during testing.

Technical Skills:

Knowledge of the incorporation of Artificial Intelligence (AI)/ Machine Learning (ML) into data analysis software is preferred.
Database Management.
Analysis of structured and unstructured data.
Backend database technologies (SQL, NoSQL, HPC, etc.),
Possess a Certified Analytics Professional certification.

Benefits:

Medical, Dental, and Vision
Short Term Disability (at no cost to you) and Long Term Disability
Life Insurance
Flex Spending Accounts (FSA)
401(k) Savings Plan
Tuition Assistance Program
Professional Development
Paid Time Off (PTO)
11 Federal Holidays each year

SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

About the Company

SimIS

IT solutions for government and defense

SimIS provides information technology solutions for government and defense across modeling and simulation, test and evaluation, cybersecurity, and autonomous systems. Its offerings include executable models built with cognitive systems engineering for simulations, DoD/DHS T&E to verify system readiness, and cybersecurity services such as CMMC compliance, plus autonomous platforms developed in-house like the SAMS maritime system and RiverScout. The company differentiates itself by delivering end-to-end, integrated capabilities from concept to deployment, supported by a veteran-owned background and a dedicated robotics lab that advances unmanned systems. Its goal is to help government customers model, test, secure, and deploy advanced systems through a cohesive suite of engineering, analytics, and IT services.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2007

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