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Remote Data Processing Jobs in Silver Spring, MD

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

Develop data pipelines, ETL/ELT processes, and ingestion frameworks for structured, semi-structured ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

GRVTY

Data Scientist - Cleared

Chantilly, VA · On-site +1

... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ... Design, develop, and maintain Python-based data processing pipelines and workflow orchestration ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... From batch ingestion to near real-time processing, your work will directly support national ...

Lovelytics

Senior Consultant, Data Engineer

Arlington, VA · On-site +1

$121K - $165K/yr

This role is open to remote candidates in the US. This role is not open for work sponsorship at ... Contribute to real-time data processing solutions and managed streaming data. * Implement security ...

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Remote Data Processing information

See Silver Spring, MD salary details

$12

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$36

How much do remote data processing jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for remote data processing in Silver Spring, MD is $20.95, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.12 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

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

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are popular job titles related to Remote Data Processing jobs in Silver Spring, MD? For Remote Data Processing jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Processing jobs in Silver Spring, MD are:
Remote Data Processing jobs near you
Data Scientist with Security Clearance

Data Scientist with Security Clearance

NT Concepts

Herndon, VA • On-site

Other

Posted yesterday

Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you. Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges. Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required. Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms Design and maintain data conversion and ETL pipelines to prepare customer data for model training Generate and analyze synthetic data to augment computer vision models where real-world data is scarce Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance Develop and visualize explainable AI metrics and model performance indicators Incorporate research and development outputs into the operational code base Communicate analytic findings to both technical and non-technical stakeholders Contribute to solutioning sessions and technical sections of project proposals Required Qualifications 5+ years of experience in data science, machine learning, or a related field Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development Experience building and maintaining ETL or data processing pipelines Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch Experience with Git-based version control systems Proficiency working in the Linux operating system Strong analytical and problem-solving skills Ability to work in a fast-paced, collaborative, Agile environment Eligibility to work in classified environments and hold required security clearances Preferred Qualifications Experience with synthetic data generation and analysis for computer vision applications Experience with cloud-based or distributed computing platforms Experience deploying models into production and supporting ongoing operations and maintenance Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions Experience contributing to technical proposals #JT

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