Data Engineer (T&E)

SimIS Inc.

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS degree in relevant field (Data Science, Computer Science, Information Systems, etc.)
  • 4 years of experience in data analysis functions
  • Proficient in software suites for data analysis (e.g., R, Python, Tableau)
  • Experience in designing and managing data management systems
  • Proven experience in developing data collection plans
  • Experienced in verification and validation of data collection methods
  • Ability to coordinate equipment for data collection during tests

Responsibilities

  • Provide technical and analytical support to Operational Test and Evaluation Force
  • Plan and organize tasks for successful execution of test planning
  • Collect and analyze data for complex test and evaluation projects
  • Develop and implement data management practices to support test data
  • Coordinate verification and validation processes for test data
  • Oversee the integration of data collection tools during testing
  • Utilize knowledge of Navy missions to inform data analysis and testing

Benefits

  • Medical, Dental, and Vision coverage
  • Short and Long Term Disability at no cost
  • Life Insurance
  • Flex Spending Accounts (FSA)
  • 401(k) Savings Plan
  • Tuition Assistance Program
  • Opportunities for Professional Development
  • Paid Time Off (PTO)
  • 11 Federal Holidays annually
Full Job Description
ONSITE

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

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