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Remote Math Question Writer Jobs in Nebraska (NOW HIRING)

Data Engineer

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Research, study, and present technical information, in the form of briefings or written papers, on ... remote support.

Data Engineer with Security Clearance

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Research, study, and present technical information, in the form of briefings or written papers, on ... mathematics and/or other relevant experience * 8+ years of experience working with AWS big data ...

$17.64 - $22.02/hr

Remote Interested applicants must reside in one of the following approved states: Arizona ... Ability to synthesize findings into clear, concise written and verbal communication * Comfortable ...

Ability to train and work 100% remote if more than 50 miles from the Home Office. If you are within ... writing * Demonstrates high level of concentration, basic math skills, attention to detail ...

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... We are looking for a problem-solver who is as comfortable writing SQL queries as they are building ...

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Remote Math Question Writer information

What is the difference between Remote Math Question Writer vs Remote Math Content Developer?

AspectRemote Math Question WriterRemote Math Content Developer
CredentialsTypically requires a degree in mathematics, education, or related fieldOften requires similar credentials, with additional experience in curriculum design
Work EnvironmentRemote, flexible hours, focused on question creationRemote, may involve broader content development tasks beyond questions
Employer & Industry UsageUsed by online education platforms, test prep companies, and e-learning providersEmployed by educational publishers, online course providers, and content agencies

The main difference is that a Remote Math Question Writer primarily focuses on creating individual math questions, while a Remote Math Content Developer may handle a wider range of educational content, including lessons and assessments. Both roles require strong math skills and often similar credentials, but their scope and responsibilities differ slightly.

What are popular job titles related to Remote Math Question Writer jobs in Nebraska? For Remote Math Question Writer jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Remote Math Question Writer jobs? Cities in Nebraska with the most Remote Math Question Writer job openings:
Infographic showing various Remote Math Question Writer job openings in Nebraska as of May 2026, with employment types broken down into 2% Locum Tenens, 58% Full Time, 35% Part Time, 3% Contract, and 2% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.
Data Engineer

Data Engineer

Barbaricum

Omaha, NE • On-site, Remote

$109.50K - $131.50K/yr

Other

Posted 12 days ago


Job description

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM J2 at Offutt Air Force Base near Omaha, Nebraska. This individual will work to migrate existing ad hoc data flows to JWICS AWS available to the enterprise. Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts. Using these foundational efforts, the Data Engineer will then develop, implement, and operate a data management system for the intelligence enterprise.
 

Responsibilities:

  • Design, implement, and operate data management systems for intelligence needs
  • Use Python to automate data workflows
  • Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
  • Work with data users to determine, create, and populate optimal data architectures, structures, and systems; and plan, design, and optimize data throughput and query performance
  • Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
  • Assist and advise the Government with developing, constructing, and maintaining data architectures
  • Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
  • Align data architecture, acquisition, and processes with intelligence and analytic requirements
  • Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations
  • Design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests
  • Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data in order to draw conclusions and make predictions

Qualifications:

  • Active DoD Top Secret/SCI clearance required
  • 8+ years of demonstrated experience in software engineering
  • Bachelor's degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience
  • 8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
  • Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • 3+ years of experience using analytical concepts and statistical techniques
  • 8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Due to security requirements, this position is primarily required to be performed on-site. However, subject to project and customer requirements, team members may be provided flexibility for limited remote support.