Data Engineer (T&E)

SimIS Inc.
Norfolk, VA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Backup Devices Big Data Computer Programming Data Cleansing Data Integration Data Transformation Data Mining Data Reduction Data Visualization R (Programming Language)
+15 more
SPSS (Software) Information Sciences Python (Programming Language) Machine Learning NoSQL Power BI SAS (Software) Verification and Validation (Software) SQL Databases Stata Tableau (Software) Test Data Unstructured Data High Performance Computing Data Management

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.

Requirements

  • 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 & conditions

  • Medical, Dental, and Vision

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all