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Data Integration Jobs in Massachusetts (NOW HIRING)

Ruri Software Technologies LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... data integration methodologies • SQL expertise and the ability to work with many different MPPs. Vertica, Snowflake, Postgres, etc. Should be able to write highly optimized SQL. • Hands-on ...

Ruri Software Technologies LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... data integration methodologies • SQL expertise and the ability to work with many different MPPs. Vertica, Snowflake, Postgres, etc. Should be able to write highly optimized SQL. • Hands-on ...

IBM

Data Engineer - IBM Quantum

Boston, MA · On-site

$124K - $149K/yr

Design Data Integration Solutions: Create and implement Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments * Develop ETL Processes: Build and maintain ...

Georgia IT

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Experience Required: 5+ years of overall experience in Data Engineering and Data Integration. 3+ years of hands-on experience with Azure Data Services (ADF, Databricks). Strong experience in SQL and ...

New

Monster Worldwide

Data Architect

Weston, MA · Hybrid

$68.75 - $88.50/hr

Expert knowledge in dimensional data modeling, ETL processes, data integration applications and business intelligence tools. SAP Business Objects and Tableau a plus. * Interacts with OLTP systems and ...

Monster Worldwide

Data Architect

Weston, MA · On-site

$68.75 - $88.50/hr

Expert knowledge in dimensional data modeling, ETL processes, data integration applications and business intelligence tools. SAP Business Objects and Tableau a plus. * Interacts with OLTP systems and ...

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How much do data integration jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data integration in Massachusetts is $56.44, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $63.51 per hour, depending on experience, location, and employer.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management, ETL tools, and programming languages like SQL, Python, or Java is essential, along with knowledge of database systems and data warehousing. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can enhance job prospects.

What are the most commonly searched types of Data Integration jobs in Massachusetts?

The most popular types of Data Integration jobs in Massachusetts are:

What are popular job titles related to Data Integration jobs in Massachusetts?

For Data Integration jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Integration jobs in Massachusetts look for?

The top searched job categories for Data Integration jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Integration jobs?

Cities in Massachusetts with the most Data Integration job openings:

Data Integration jobs near you
Infographic showing various Data Integration job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,404 per year, or $56.4 per hour.

Senior IT Manager (Enterprise Data Architect & Integration Lead) (cpa firm) - Hybrid

Boston, MA • On-site

CPA firm
See more jobs at CPA firmexternal

Other

Re-posted 18 days ago

Job description

CPA firm seeking an experienced Senior IT Manager (Enterprise Data Architect & Integration Lead) to own and drive our organization’s data architecture strategy while leading development and integration practices. This role combines hands-on architecture with team leadership, serving as a key bridge between data strategy, application development, and enterprise integration.

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