
Posted 11 days ago
Data Engineer (T&E)
AI Summary
Provides technical and analytical support to Navy Operational Test and Evaluation, planning data collection, reconstructing test data, and analyzing results for Undersea Warfare system tests.
About this role
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.
- 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.
- 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
Skills
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