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Remote Data Engineer Jobs in Fairborn, OH (NOW HIRING)

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Remote Data Engineer information

See Fairborn, OH salary details

$42K

$122.5K

$167.7K

How much do remote data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data engineer in Fairborn, OH is $122,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $129,900.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Fairborn, OH?

The most popular types of Data Engineer jobs in Fairborn, OH are:

What are popular job titles related to Remote Data Engineer jobs in Fairborn, OH?

For Remote Data Engineer jobs in Fairborn, OH, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Fairborn, OH look for?

The top searched job categories for Remote Data Engineer jobs in Fairborn, OH are:

What cities near Fairborn, OH are hiring for Remote Data Engineer jobs?

Cities near Fairborn, OH with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Fairborn, OH as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $122,535 per year, or $58.9 per hour.

$130K - $155K/yr

Full-time

Posted 18 days ago


Job description

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the countrys most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.

Riverside Research is seeking a highly skilled Senior Overhead Persistent Infrared (OPIR) Research Engineer - Mid to support the National Geospatial Intelligence Agency involving infrared sensing, space-based missile warning systems, data exploitation, and algorithm development. The ideal candidate will have a strong technical background in EO/IR systems, infrared phenomenology, OPIR data analysis, and software development for remote sensing.

This role requires proven experience working with complex sensor systems, developing and testing new analysis capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.


  • Prototype, develop, and support transition advanced OPIR data processing algorithms
  • Evaluate and troubleshoot data processing, identify anomalies, and coordinate remediation strategies
  • Support development of white papers, technical documentation, and transition plans
  • Collaborate with research organizations, DoD stakeholders, and external agencies

Required Qualifications

  • Active TS/SCI clearance
  • Advanced understanding of EO/IR signal processing, AI/ML processing, and target system phenomenology
  • Bachelor’s degree in Computer Engineering, Physics, Computer Science, or related technical field
  • 5+ years of experience in EO/IR algorithm development
  • Detailed experience with OPIR data formats and processing pipelines
  • Advanced Python development skills
  • Strong analytical skills and ability to diagnose sensor performance, data anomalies, and software issues

Desired Qualifications

  • Experience with OPIR analysis
  • Master’s degree in Computer Engineering, Physics, Computer Science, or related technical field
  • Experience collaborating with NGA, NASIC or other intelligence community organizations

$130,000 - $155,000 This represents the typical compensation range for this position based on experience, location and other factors.
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veterans status or any other status legally protected by applicable federal, state, and local law.