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Data Processing Jobs in Massachusetts (NOW HIRING)

Verisk

Data Architect

Boston, MA · On-site

$160K - $175K/yr

The ideal candidate will bring strong expertise in AWS data services, big data processing, data modeling, enterprise analytics, and cloud-native architectures . This role requires a hands-on ...

QTech US Inc

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Process, transform, and optimize large datasets using PySpark. Develop efficient data integration solutions across multiple enterprise systems. Create scalable and reliable cloud-based data ...

Pwc

Data Engineer - Manager

Boston, MA · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · Hybrid

Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models * Technical Leadership & Standards:

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All JobsData Processing JobsData Processing Jobs in Massachusetts

Data Processing information

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$13

$22

$38

How much do data processing jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for 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 in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
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 Data Processing jobs in Massachusetts? For Data Processing jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Massachusetts look for? The top searched job categories for Data Processing jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Processing jobs? Cities in Massachusetts with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $46,036 per year, or $22.1 per hour.

Synthetic Data Engineer (AI Data/Training)

Hyphen Connect Limited

Boston, MA

$124K - $149K/yr

Other

Posted 8 hours ago

Job description

We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.

Responsibilities:

  • Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
  • Implement automated quality scoring and de-duplication systems.
  • Manage data pipelines that feed directly into SFT and DPO training loops.

Qualifications:

  • Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
  • Deep knowledge of prompt engineering for data generation.
  • Familiarity with dataset distillation and bias mitigation.

Apply