1

Data Processor Jobs in Massachusetts (NOW HIRING)

Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured data. Develop data ingestion frameworks for research, laboratory, clinical, and external scientific datasets.

Claims Processor

Westford, MA · On-site

$17.75 - $22.25/hr

Claims Processor Westford, Massachusetts, United States $ 16.00 - 17.00 (US Dollar) About the Job ... Data entry test * Onsite, 5 days * Accustomed to working in a high-paced, high-volume environment

Azure Data Architect - Snowflake

Boston, MA · On-site

$69.25 - $89/hr

Responsibilities: • Design and implement data architecture solutions using Snowflake, ensuring optimal performance and scalability. • Develop and maintain ETL processes using SnowSQL and Spark to ...

New

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 ...

Be Seen First

The ideal candidate will design, develop, and maintain scalable data platforms and automated bioinformatics/data science pipelines that enable researchers and scientists to efficiently process ...

New

Showing results 41-60

Data Processor information

See Massachusetts salary details

$13

$22

$38

How much do data processor jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data processor 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 is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

How much does a data processor earn?

The average salary for a data processor in the United States ranges from $30,000 to $50,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Salaries are often complemented by benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
What job categories do people searching Data Processor jobs in Massachusetts look for? The top searched job categories for Data Processor jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Processor jobs? Cities in Massachusetts with the most Data Processor job openings:
What are popular job titles related to Data Processor jobs in MA? For Data Processor jobs in MA, the most frequently searched job titles are:
Infographic showing various Data Processor job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% 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.

Data and Systems Engineer-III

Lancesoft

Cambridge, MA • On-site

$100.55/hr

Temporary

Posted 4 days ago


Job description


Job Title: IT Data Engineer
Job Summary:
We are seeking a highly skilled IT Data Engineer with expertise in Databricks, Seqera Platform (Nextflow Tower), cloud data engineering, and scientific data workflows to support our Discovery R&D and data science initiatives. The ideal candidate will design, develop, and maintain scalable data platforms and automated bioinformatics/data science pipelines that enable researchers and scientists to efficiently process, analyze, and access large-scale scientific and business datasets.
This role requires strong experience in cloud-native architectures, data engineering best practices, workflow orchestration, and collaboration with cross-functional teams including scientists, bioinformaticians, data scientists, and IT infrastructure teams.
Key Responsibilities:
Data Engineering & Platform Development
Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and cloud-native technologies.
Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured data.
Develop data ingestion frameworks for research, laboratory, clinical, and external scientific datasets.
Implement data quality, validation, monitoring, and governance processes.
Support enterprise data lakehouse architecture and data platform modernization initiatives.
Databricks Administration & Development
Develop and maintain Databricks notebooks, workflows, Delta Live Tables, and Jobs.
Create optimized Spark-based transformations and data processing solutions.
Implement Medallion Architecture (Bronze, Silver, Gold) for data lifecycle management.
Manage Delta Lake environments and optimize performance, scalability, and cost.
Integrate Databricks with cloud-native services and enterprise applications.
Seqera Platform & Scientific Workflow Management
Deploy, configure, and support Seqera Platform (formerly Nextflow Tower).
Develop and maintain Nextflow pipelines for bioinformatics, genomics, imaging, AI/ML, and scientific computing workloads.
Integrate Seqera workflows with AWS cloud infrastructure and compute environments.
Support containerized workflows using Docker and Kubernetes technologies.
Enable reproducible, scalable, and compliant scientific data processing workflows.
Cloud Engineering
Design and implement cloud-based data solutions in AWS.
Manage cloud storage solutions including S3 and data lifecycle policies.
Develop Infrastructure-as-Code solutions using Terraform or CloudFormation.
Implement security controls and access management following enterprise IT standards.
Partner with data scientists, researchers, bioinformaticians, and business stakeholders to understand data requirements.
Provide technical guidance on data engineering best practices and workflow automation.
Troubleshoot pipeline failures, performance issues, and workflow bottlenecks.
Contribute to platform roadmaps and continuous improvement initiatives.
Maintain technical documentation, SOPs, and knowledge articles.
Required Qualifications
Education
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Bioinformatics, or a related technical field.
Master's degree preferred.
Experience
5+ years of experience in data engineering, cloud engineering, or analytics platform development.
3+ years of hands-on experience with Databricks and Apache Spark.
2+ years of experience with Seqera Platform (Nextflow Tower) and Nextflow workflows.
Experience supporting scientific research, life sciences, pharmaceutical, biotech, or healthcare environments preferred.
Technical Skills
Databricks & Data Engineering, Databricks Lakehouse Platform
Apache Spark (PySpark, Spark SQL)
Delta Lake, Delta Live Tables (DLT)
Databricks Workflows
Unity Catalog
SQL and Python
Seqera & Scientific Computing;Seqera Platform / Nextflow Tower
Nextflow pipeline development
Bioinformatics workflow automation
Docker and container technologies
Kubernetes orchestration
High-performance computing environments
Cloud Technologies, AWS (required)
S3, IAM, EC2, VPC, Lambda
Terraform or CloudFormation
Cloud monitoring and logging tools
Data Technologies
Data Lake and Lakehouse architectures
ETL/ELT frameworks
Data modeling
Data cataloging and governance
API integrations
Data quality frameworks
DevOps & Automation
GitHub/GitLab
CI/CD pipelines
Jenkins, GitHub Actions, or similar tools
Infrastructure as Code
Agile and DevOps methodologies
Core Competencies
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management abilities.
Ability to work independently and within global cross-functional teams.
Strong attention to detail and commitment to data quality.
Continuous improvement mindset and passion for innovation.
Meet Your Recruiter
Priyanka Sahu

LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

Social media