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Remote Data Processing Jobs in Massachusetts (NOW HIRING)

thg

Senior Data Engineer (REMOTE OR MA BASED)

Worcester, MA · On-site +1

$105K - $143K/yr

... remote work arrangement. This is a full-time, exempt position. POSITION OVERVIEW: This role will ... Create documentation for data processes * Collaborate with data scientists, analysts, and ...

Jj

Manager, Commercial Data Strategies

Raynham, MA · On-site +1

Palm Beach Gardens, FL or remote options will also be considered. Purpose: Commercial Operations ... The process of the planned separation is anticipated to be completed within 18 to 24 months ...

VulnCheck

Director of Engineering - US

Boston, MA · On-site +1

Deep experience with data pipelines, APIs, or high-volume data processing * Strong technical ... Remote-friendly environment with flexibility * Expense reimbursement for Cell Phone & Internet

Cytel

Principal Clinical Data Manager

Cambridge, MA · Remote

Principal Clinical Data Manager United States (Remote) Responsibilities - Responsible for vendor ... Minimum Work Requirements: - Minimum of 10 years data management and/or drug development process ...

Redhat

Principal Software Engineer

Boston, MA · On-site +1

$193K - $318K/yr

... and remote locations. What You Will Bring: * Bachelor's degree (U.S. or foreign equivalent) in ... Must have two (2) years of experience with Data Processing Unit (DPU) or SmartNIC hardware ...

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Remote Data Processing information

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$13

$22

$38

How much do remote data processing jobs pay per hour?

As of Jul 1, 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.

How can I make 2000 a week working from home?

Remote data processing jobs can offer high earning potential, especially for experienced professionals who handle large datasets, use specialized tools, and meet project deadlines. To earn $2000 weekly, you may need to work multiple projects, develop strong skills in data analysis and processing, and possibly obtain relevant certifications. Consistent high-quality work and efficient time management are essential for reaching this income level remotely.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home or other remote locations. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools like spreadsheets or databases.

How to make $1000 a week remotely?

Remote data processing jobs can pay $1000 or more per week depending on experience, workload, and project complexity. To achieve this, professionals often work multiple projects, develop specialized skills in data analysis or automation, and utilize platforms that connect freelancers with clients. Consistent high-quality work and efficient time management are essential for reaching this income level.

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 jobs pay 4000 a week without a degree?

Remote data processing roles can pay around $4,000 per week for experienced professionals, especially those with strong skills in data analysis, programming, or automation. These jobs often require proficiency in tools like Python, SQL, or cloud platforms and may involve freelance or contract work with flexible schedules. High earnings typically depend on expertise, project complexity, and workload volume.

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 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
Infographic showing various Remote Data Processing job openings in Massachusetts as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,036 per year, or $22.1 per hour.

Senior Data Engineer (REMOTE OR MA BASED)

thg

Worcester, MA • On-site, Remote

$105K - $143K/yr

Other

Posted 21 days ago

Job description

Our technology team is currently seeking a Senior Data Engineer to join our growing team in our Worcester, MA office or remote work arrangement.   

This is a full-time, exempt position.

POSITION OVERVIEW: 

This role will primarily become proficient with all internal & external data produced and consumed by Hanover’s Core Commercial and Specialty businesses.

This role will be driving larger complex projects independently as well as mentoring less experienced engineers. The Senior Data Engineer will collaborate with business partners and cross-functional teams on data and reporting requests. The assignments will become broader in nature, usually requiring originality and ingenuity. This role will be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data integrations, pipelines and solutions.

IN THIS ROLE, YOU WILL: 

  • Complete data integration, data warehouse design, and build scalable ETL pipelines
  • Display data engineering best practices for data storage, integration, transformation, and access within cloud and on-premises platforms
  • Have a strong understanding of Medallion Architecture and Data Lake best practices
  • Have knowledge of data modeling, governance, and security best practices
  • Ensure data security and compliance within industry standards
  • Have familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST)
  • Develop and maintain documentation for data integration and ETL solutions
  • Build solutions within Azure Data Services (Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage)
  • Create solutions using pySpark/SparkSQL, and Delta Tables
  • Create documentation for data processes
  • Collaborate with data scientists, analysts, and stakeholders
  • Coach, mentor, and serve as technical guidance for junior team members
  • Work within agile development methodologies and use DevOps best practices

 

WHAT YOU NEED TO APPLY: 

  • Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent 
  • 5 plus years professional experience in data engineering, data architecture, and/or data integration
  • Advanced proficiency in SQL and Python
  • Experience working with Azure, AWS, GCP, or other cloud
  • Strong problem-solving, communication, and collaboration skills
  • Critical thinking and attention to detail
  • Must be eligible to work in the United States without requiring sponsorship now or in the future (ie. US Citizen or green card holder)

PREFERRED:

  • Microsoft DP-203 or DP-700 certification
  • Experience in optimizing data pipelines for scale, performance, reliability, and cost efficiency
  • PowerBI experience
  • Azure DevOps experience
  • Azure Synapse Analytics and/or Microsoft Fabric experience
  • Masters in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
  • Actuarial or pricing experience within insurance industry

Apply