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Data Processing Jobs in Massachusetts (NOW HIRING)

Federal Reserve Bank of Richmond

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

Implement scalable data processing frameworks capable of supporting growing dataset volumes. * Improve indexing and metadata strategies that support dataset search and discovery. * Enable advanced ...

Activate Talent

Data Entry Specialist

Springfield, MA · Remote

$17 - $22.75/hr

We are seeking a detail-oriented Data Entry Specialist to maintain accurate and efficient data processing to support our growing Key Responsibilities: * Accurately enter, verify, and update ...

Prophecy Technologies

Snowflake Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop high-performance SQL-based transformations for large-scale data processing . * Build scalable ELT/ETL pipelines supporting enterprise analytics workloads. * Implement orchestration workflows ...

Robert Half

Data Architect

Needham, MA · On-site

$140K - $160K/yr

This role focuses on building scalable cloud-based data architecture, improving data movement and transformation processes, and enabling reliable access to business-critical information. The ideal ...

New

Roberts Recruiting

Data Engineer

Boston, MA

$124K - $149K/yr

... processing technologies. Responsibilities for this role include: * Implement data engineering best-practices to build extraction, loading, and transformation logic to land large datasets into the ...

RUE GILT GROUPE

Senior Data Scientist

Boston, MA · On-site +1

Build end-to-end large-scale batch and real-time software data pipelines for data processing. * Identify and lead strategic analytics and predictive modeling opportunities, leveraging AI and machine ...

RUE GILT GROUPE

Senior Data Scientist

Boston, MA · On-site

Build end-to-end large-scale batch and real-time software data pipelines for data processing. * Identify and lead strategic analytics and predictive modeling opportunities, leveraging AI and machine ...

Whoop

Data Engineer II

Boston, MA · On-site

$124K - $149K/yr

Experience with Spark and Kafka for batch or streaming data processing is preferred * Strong problem-solving skills, clear communication, and the ability to work independently while collaborating in ...

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How much do data processing jobs pay per hour?

As of Jun 5, 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 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 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 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.
More about Data Processing jobs
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.
Data Architect

Data Architect

Federal Reserve Bank of Richmond

Boston, MA • On-site

$69.25 - $89/hr

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago

Job description

CompanyFederal Reserve Bank of St. LouisThe St Louis Fed is one of 12 Reserve Banks serving all or parts of Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi, and Arkansas with branches in Little Rock, Louisville and Memphis. The St. Louis Fed's most critical functions include promoting stable prices and economic growth, fostering a sound financial system, providing payment services to financial institutions, supporting the U.S. Treasury's financial operations, and advancing economic education, community development and fair access to credit. The Bank strives to maintain an engaging and exciting work environment that is both inviting and collegial.

The Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.

This role focuses on designing scalable data platforms, data models, and data governance frameworks to support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.

The Data Architect will partner closely with the Application/Enterprise Architect to ensure seamless integration between data platforms and application services.

Responsibilities

  • Define and evolve the target data architecture supporting economic data systems.
  • Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.
  • Develop metadata schemas supporting dataset discoverability, lineage, and governance.
  • Standardize dataset structures and metadata across multiple platforms.
  • Implement scalable data processing frameworks capable of supporting growing dataset volumes.
  • Improve indexing and metadata strategies that support dataset search and discovery.
  • Enable advanced analytical capabilities for researchers and developers.
  • Partner with the Application Architect to optimize data access patterns for APIs and applications.

Qualifications

  • 7+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • Demonstrated experience designing, architecting and supporting external / public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools and knowledge of data privacy regulations. Industry-related certifications in one or more of the above areas are desired.
  • Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions. Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability. Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
  • US Citizenship required
  • Lesser experience might be considered for a lesser grade

Preferred Qualifications

  • Experience working with time-series data platforms or analytical datasets.
  • Experience with distributed query engines and large-scale data processing systems.
  • Experience with data catalog and metadata management platforms.
  • Familiarity with economic datasets or research data environments.
  • Experience supporting public data access or research-oriented platforms.

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life.

Salary: $140-170k

In addition to competitive compensation, we offer a comprehensive benefits package that all brought together in a flexible work environment where you can truly find balance:

  • Generous paid time off
  • Tuition & Training assistance/reimbursement
  • 401(k) match & Annuity/Pension fund
  • Top-notch health care benefits
  • Child and family care leave
  • Professional development opportunities
  • And more...

At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank's culture

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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