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Remote Reports Developer Jobs (NOW HIRING)

Vytwo

SAP ABAP Developer

Prosper, TX · Remote

$55 - $60/hr

Remote (Need to work in PST time Zone) Duration: 6+ Months At least 12+ years of experience in ABAP ... Expertise in report programming using ALV, drill down and interactive using ALV events * Experience ...

Vytwo

SAP ABAP Developer

Prosper, TX · Remote

$56.25 - $76.25/hr

Remote (Need to work in PST time Zone) Duration: 6+ Months At least 12+ years of experience in ABAP ... Expertise in report programming using ALV, drill down and interactive using ALV events * Experience ...

TerraForm Power

Engineer, Wind

Manhattan, NY · On-site +1

$115K - $130K/yr

Remote Reports To: Manager, Wind Engineering About Us TerraForm Power ("TERP"), a platform company of Brookfield Renewable, attracts high-performing individuals who are driven to make an impact in a ...

Industrial Electric Manufacturing

Analytics Engineer

$140K - $170K/yr

US Remote Reports To: Director of Data and Analytics Salary Range: $140,000-$170,000 Position Summary: The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data ...

StrongMind

Staff Software Engineer

Remote Reports to : Vice President of Engineering & AI Employment Type: Exempt / Full-Time About StrongMind StrongMind is a remote-first education and technology company on a mission to transform ...

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How much do remote reports developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for remote reports developer in the United States is $53.97, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $62.26 per hour, depending on experience, location, and employer.

What is the difference between Remote Reports Developer vs Data Analyst?

AspectRemote Reports DeveloperData Analyst
Required CredentialsSQL, BI tools, reporting softwareSQL, Excel, statistical knowledge
Work EnvironmentRemote, primarily focused on report creationRemote or on-site, analyzing data trends
Employer & Industry UsageTech, finance, healthcare companiesMarketing, finance, consulting firms
Common Search & ComparisonYesYes

The Remote Reports Developer and Data Analyst roles share skills in data handling and reporting tools but differ mainly in focus. Remote Reports Developers primarily create and maintain reports using BI tools, while Data Analysts interpret data trends to inform business decisions. Both roles are vital in data-driven industries and often overlap in skill requirements, but their core responsibilities and daily tasks differ.

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What cities are hiring for Remote Reports Developer jobs? Cities with the most Remote Reports Developer job openings:
What are the most commonly searched types of Reports Developer jobs? The most popular types of Reports Developer jobs are:
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Remote Reports Developer jobs near you
Infographic showing various Remote Reports Developer job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution, with an average salary of $112,259 per year, or $54 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 18 days ago

Job description

Riverside Overview
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 country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
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, veteran's status or any other status legally protected by applicable federal, state, and local law.

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