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Remote Data Processing Jobs in Massachusetts (NOW HIRING)

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AI Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

Design, build, and maintain scalable data pipelines to ingest, process, and store massive and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

Design, build, and maintain scalable data pipelines to ingest, process, and store massive and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Tiger Analytics Inc.

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Drive migration planning activities including dependency analysis, process-to-object mapping ...

Acentech

Senior Noise Consultant

Cambridge, MA · On-site +1

$90K - $120K/yr

... but other remote locations will also be considered. We're building a diverse and inclusive ... Familiarity with vibration or acoustics measurement instrumentation and related data processing ...

Takeda

Manager,Core Data ProductStrategy

Lexington, MA · On-site +1

$116K - $182.27K/yr

By clicking the "Apply" button, I understand that my employment application process with Takeda ... This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote ...

Dimagi

Data Engineer II

Boston, MA · On-site +1

$124.40K - $149.40K/yr

This position will be affiliated with our Cambridge, MA office but is open to remote employment ... Build and maintain robust data extraction, loading, and transformation processes for both Dimagi ...

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$13

$22

$38

How much do remote data processing jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote data processing in Massachusetts is $22.13, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $24.42 per hour, depending on experience, location, and employer.

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 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 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 the most commonly searched types of Data Processing jobs in Massachusetts? The most popular types of Data Processing jobs in Massachusetts are:
What are popular job titles related to Remote Data Processing jobs in Massachusetts? For Remote Data Processing jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Massachusetts look for? The top searched job categories for Remote Data Processing jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Data Processing jobs? Cities in Massachusetts with the most Remote Data Processing job openings:
Remote Data Processing jobs near you
Research Scientist Atmospheric Science

Research Scientist Atmospheric Science

Karen Clark & CO

Boston, MA • On-site, Remote

$90K - $100K/yr

Full-time

Posted 13 days ago

Job description

Karen Clark & Company seeks a highly motivated physical scientist with experience in the field of atmospheric science to join our growing Model Development Team in our Downtown Boston office. In this position, you will work closely with other scientists and engineers to develop our suite of advanced, atmospheric-peril catastrophe models with an emphasis on severe convective storm hazard models.

Expected Salary Range: $90,000-$100,000 **
**

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to enhance risk management strategies and climate resiliency. KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries. For information please visit www.kcc.us.com

Responsibilities

  • Collaborate with scientists and engineers to develop the technical aspects of atmospheric peril hazard and impacts models by applying state-of-the-art data processing and machine learning techniques
  • Collect and analyze large data sets of atmospheric data (e.g., numerical weather prediction, radar, satellite, etc.)
  • Compile related literature and datasets required for model development
  • Conduct model sensitivity and validation tests
  • Provide documentation for technical publications
  • Conduct post disaster field surveys after major events

Qualifications

  • PhD in geophysical science (atmospheric science preferred), physics, applied mathematics, or related field
  • Knowledge and experience in atmospheric processes related to synoptic scale, mesoscale, and convective scale weather systems
  • Knowledge and experience working with remote sensing data
  • Knowledge and experience in advanced probability and statistical methods as well as machine learning
  • Programming experience in a widely used language like Python
  • Ability to work independently and in a team environment
  • Excellent oral and written communication skills including an eye for professional presentation
  • Ability to travel within the US or internationally with little advance notice
  • Experience with GIS software (e.g., QGIS, ArcGIS, etc.) is a plus
  • Knowledge of C# programming language a plus
  • Experience in catastrophe modeling a plus

Apply