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Remote Data Visualization Jobs in Nebraska (NOW HIRING)

Data Engineer

Omaha, NE ยท On-site +1

$109K - $131K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... remote support.

... visualization * Store, organize and index massive data collections from our own IOT devices ... Some consideration may be made for remote development once employee has demonstrated they work well ...

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science team who bridges the gap between traditional statistical modeling and advanced AI orchestration. In ...

Chief Digital & Data Officer Location ... United States (Remote) Interested applicants must reside in one of the following approved states:

Data Engineer with Security Clearance

Omaha, NE ยท On-site +1

$109K - $131K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... limited remote support. EEO Commitment All qualified applicants will receive consideration for ...

Android Software Engineer

Lincoln, NE ยท On-site +1

$40/hr

... data analysis and visualization. Your work directly refines intelligent systems that learn, adapt ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Data Engineer - Healthcare

Lincoln, NE ยท Remote

$99K - $119K/yr

Familiarity with dbt (data build tool) framework ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

QA Engineer - AI Trainer

Lincoln, NE ยท On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

C++ Engineer - AI Trainer

Lincoln, NE ยท On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

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Remote Data Visualization information

See Nebraska salary details

$51.5K

$104.4K

$154K

How much do remote data visualization jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote data visualization in Nebraska is $104,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $117,300.00 per year, depending on experience, location, and employer.

What Are Remote Data Visualization Jobs?

A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.

What are the key skills and qualifications needed to thrive as a Remote Data Visualization Specialist, and why are they important?

To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.

How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?

Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.

What is remote data visualization?

Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.

What is the difference between Remote Data Visualization vs Remote Data Analyst?

AspectRemote Data VisualizationRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in visualization toolsDegree in Data Analysis, Statistics, or related; strong analytical skills
Work EnvironmentPrimarily focused on creating visual representations of data, often using tools like Tableau, Power BIAnalyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software
Industry UsageUsed across tech, finance, marketing, and consulting firms for presenting data insights visuallyCommon in finance, healthcare, retail, and marketing for data interpretation and decision-making

Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

What are the most commonly searched types of Data Visualization jobs in Nebraska? The most popular types of Data Visualization jobs in Nebraska are:
What are popular job titles related to Remote Data Visualization jobs in Nebraska? For Remote Data Visualization jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Data Visualization jobs in Nebraska look for? The top searched job categories for Remote Data Visualization jobs in Nebraska are:
What cities in Nebraska are hiring for Remote Data Visualization jobs? Cities in Nebraska with the most Remote Data Visualization job openings:
Data Engineer

Data Engineer

Barbaricum

Omaha, NE โ€ข On-site, Remote

$109K - $131K/yr

Other

Posted 16 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.ย 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.
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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.