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Data Processing Jobs in Massachusetts (NOW HIRING)

Samprasoft

Data Engineer - AWS, Python, SQL

Boston, MA · On-site

$124K - $149K/yr

The Role As a Sr. Data Engineer, build and maintain large scale data processing systems. Apply variety of technologies to develop innovative data solutions. The Expertise and Skills You Bring Has ...

Atlantic Talent Recruitment

Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

As a Data Engineer, you will be responsible for developing and optimising data pipelines to support the collection, processing, and analysis of large-scale datasets. This role offers an exciting ...

Huxley

Senior Software Engineer - Data Platform

Boston, MA

$133K - $175K/yr

This position offers the opportunity to contribute to platform architecture, implement modern data processing solutions, and mentor junior team members. Responsibilities * Help define and execute the ...

Pwc

Data Engineer - Manager

Boston, MA

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 ...

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All JobsData Processing JobsData Processing Jobs in Massachusetts

Data Processing information

See Massachusetts salary details

$13

$22

$38

How much do data processing jobs pay per hour?

As of Jun 8, 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 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.

What job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
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 May 2026, with employment types broken down into 2% As Needed, 78% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. 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.
Sr. Data Infrastructure Engineer

Sr. Data Infrastructure Engineer

Evolv Technologies Inc.

Waltham, MA • On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

The Elevator Pitch
Join Evolv as Senior Data Infrastructure Engineer in the Machine Learning & Sensors organization, responsible for building and operating the scalable, secure, and reliable data pipelines that power our AI/ML research and production systems. In this role, you will own the end-to-end data lifecycle-from collection on thousands to millions of edge devices, through cloud ingestion and processing, into a centralized data factory enabling model training, evaluation, and continuous improvement.
Data is the backbone of our mission to deliver best-in-class AI-based weapon detection systems. You will ensure that data flows seamlessly across geographies, devices, and cloud systems while meeting strict requirements for quality, privacy, security, and scale. This role is ideal for someone who thrives at the intersection of distributed systems, cloud pipelines, and ML-driven data needs.
Success in the Role: What performance outcomes will you work toward in the first 6-12 months?
In the first 30 days:
  • Develop a deep understanding of existing edge-to-cloud data pipelines and deployment environments.
  • Review current data ingestion flows, governance policies, and cloud infrastructure.
  • Assess pain points in data reliability, quality, and operational scalability.
  • Build relationships with AI/ML, data science, field operations, and cloud engineering teams.
  • Design and prototype data processing pipelines (both cloud and edge)

Within the first three months:
  • Design and implement improvements to core ingestion, validation, and processing pipelines.
  • Deploy scalable data pipeline with AWS-based components (S3, EC2, Lambda, Glue, Step Functions, SageMaker integrations).
  • Introduce automated validation workflows to detect corruption, missing metadata, or malformed data.
  • Design and implement automated model evaluation, model training and model improvement pipeline to speed up experiments
  • Partner with field operations to improve data reliability, observability, and coverage across deployments.

By the end of the first year:
  • Own the entire lifecycle of mission-critical data pipelines supporting AI/ML research and production.
  • Architect next-generation edge-to-cloud data systems that scale across millions of devices.
  • Define and enforce data governance frameworks including retention, access control, privacy, and lineage.
  • Enable ML teams to rapidly experiment through high-quality, discoverable, versioned datasets.

The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis?
End-to-End Data Pipeline Ownership:
  • Design, build, and maintain both research and production data pipelines spanning edge devices, cloud services, and centralized data platforms.
  • Own the full data lifecycle: collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement.
  • Edge-to-Cloud Data Flow:
  • Develop resilient ingestion pipelines capable of handling variable connectivity and device heterogeneity.
  • Support secure data transfer from the field to cloud storage systems.
  • Collaborate with field ops to enhance data coverage, observability, and operational robustness.
  • Data Quality, Governance & Compliance:
  • Implement privacy-preserving transformations and obfuscation pipelines.
  • Build automated cleaning/validation steps to remove duplicates, detect corruption, and validate metadata.
  • Establish data lineage, retention policies, and access controls ensuring compliance and traceability.

Data Services for AI/ML:
  • Provide scalable data services for model training, evaluation, and research experimentation.
  • Support continuous data refresh and retraining workflows.
  • Integrate with data labeling services and annotation workflows.
  • Enable efficient access patterns for large-scale ML workloads.

AWS-Based Cloud Infrastructure:
  • Build and optimize pipelines using AWS services (S3, EC2, SageMaker, Lambda, Glue, Step Functions).
  • Design for cost-efficiency, performance, and reliability at scale.

Collaboration & Feedback Loops:
  • Partner with AI/ML engineers, scientists, and data scientists to understand data requirements.
  • Translate feedback into automated improvements in data collection, labeling, and consumption.
  • Support cross-functional teams in exploratory analysis and debugging data issues.

Scaling the Data Factory:
  • Design and manage data schema, data versioning and data factory updates
  • Architect systems that scale globally across millions of devices.
  • Ensure the data platform remains flexible for research and reliable for production operations.

Qualifications:
Minimum Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or related field.
  • 2-3+ years of experience building production data pipelines and data platforms that support AI/ML models.
  • Strong proficiency in Python, C++ and distributed data processing frameworks.
  • Hands-on experience with AWS services including S3, EC2, SageMaker, and Glue.
  • Experience designing data systems that support large-scale ML training and experimentation.
  • Knowledge of data governance, access control, and lifecycle management.
  • Experience collaborating with ML, data science, operations, and cloud teams.

Preferred Qualifications:
  • Experience building pipelines spanning edge devices and cloud systems.
  • Background working with large-scale sensor, image or IoT data.
  • Familiarity with data labeling tools and annotation workflows.
  • Experience implementing dataset versioning, lineage, and reproducibility systems.
  • Understanding of privacy, compliance, or regulated data environments.
  • Experience supporting global, multi-region data platforms.

Example Problems You Will Own
  • Design a resilient global ingestion pipeline aggregating sensor data from millions of devices.
  • Build ML-ready data services enabling easy discovery, versioning, and consumption of datasets.
  • Implement automated validation and cleaning workflows that dramatically reduce bad data.
  • Define and enforce lifecycle and governance policies across research and production datasets.

What is leadership like for this role? What is the structure and culture of the team?
  • You will join our R&D organization, reporting directly to VP of ML and sensors. In this role, you will interface with cross-disciplinary teams of highly skilled and autonomous engineers with expertise in Electromagnetics, Computer Vision, and AI. Our R&D organization includes more than 100 dedicated developers, engineers, scientists, managers and directors, each bringing deep technical knowledge and a strong culture of collaboration and support.
  • The team culture is one based on building trust, collaboration, on-going development through kindness, authenticity, courage, drive, and fun!

Where is the role located? This role is based at our headquarters in Waltham, Massachusetts. Due to the nature of our software-enabled hardware products, this position requires a minimum of 60% or 3 days per week on-site work.
**Candidates MUST live within commutable distance to our office in Waltham, MA**
What is the salary range? The base salary range for this full-time position is $129,000 - $209,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
• Please note that the compensation details listed in role posting reflect the base salary only, and do not include commission, equity, or benefits
Benefits
At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who:
  • Do the right thing, always;
  • Put people first'
  • Own it;
  • Win together; and continue to
  • Be bold, stay curious.

Our Benefits Include:
  • Equity as part of your total compensation package
  • Medical, dental, and vision insurance
  • Health Savings Account (HSA)
  • A 401(k) plan (and 2% company match)
  • Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind
  • Quarterly stipend for perks and benefits that matter most to you
  • Tuition reimbursement to support your ongoing learning and development
  • Subscription to Calm

Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics.
Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at careers@evolvtechnology.com.
Evolv participates in E-verify for all employees after the completion of Form I-9.

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