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Data Integration Developer Jobs in Massachusetts

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Job Title :- Teradata Developer with Data Analyst exp Duration :- 8+ months Location :- Onsite ... integration methodologies • SQL expertise and the ability to work with many different MPPs.

Azure Data Architect

Worcester, MA

$63.50 - $81.75/hr

Provide technical coaching and mentoring to data engineers, data analysts, and junior architects; promote modeling and integration best practices. Support project planning, estimation, and delivery ...

Principal Data Engineer

Boston, MA · On-site +1

$141K - $166K/yr

Manages data integration, ensuring high data quality and accessibility, using Snowflake and Extract ... Developer, and MySQL workbench. * DEinterpreting requirements within an Agile environment and ...

Data Delivery & Integration Engineer

Hingham, MA · On-site

$120K - $144K/yr

About the role We're seeking a Data Delivery & Integration Engineer to own and manage the end-to-end lifecycle of FINTRX's external data delivery, including Snowflake data shares, SFTP feeds, and S3 ...

SIEM Data Engineer

Quincy, MA · On-site

$45 - $50/hr

Collaborate with cross-functional teams to understand data integration requirements and design ... with DevOps experience with minimum bachelor's degree in Computer Science or Engineering. * 5+ ...

Principal Data Engineer

Boston, MA · On-site

$141K - $166K/yr

Manages data integration, ensuring high data quality and accessibility, using Snowflake and Extract ... TOAD, SQL Developer, and MySQL workbench. * DE interpreting requirements within an Agile ...

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Data Integration Developer information

See Massachusetts salary details

$11

$56

$91

How much do data integration developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data integration developer 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 the difference between Data Integration Developer vs Data Engineer?

AspectData Integration DeveloperData Engineer
Required CredentialsBachelor's in CS, IT, or related field; certifications like Talend or InformaticaBachelor's or higher in CS, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentCollaborates with data analysts, ETL teams, and business units; often in IT or data teamsWorks on data pipelines, architecture, and infrastructure; in data engineering or data platform teams
Employer & Industry UsageUsed across industries for data migration, integration, and ETL processesUsed in data-heavy industries for building scalable data systems and pipelines

While both roles focus on data handling, Data Integration Developers primarily design and implement data pipelines for integration and ETL tasks, whereas Data Engineers build and maintain the infrastructure and architecture for large-scale data processing. The roles often overlap but differ in scope and technical focus.

What does a Data Integration Developer do?

A Data Integration Developer is responsible for designing, building, and maintaining systems that combine data from different sources into a unified view for analysis and reporting. They work with various data formats and platforms, develop ETL (Extract, Transform, Load) processes, and ensure the accuracy and efficiency of data flow across an organization. Their role often involves collaborating with data architects, analysts, and other IT professionals to support business intelligence and data warehousing initiatives.

What are some common challenges Data Integration Developers face when working with diverse data sources, and how can they be addressed?

Data Integration Developers often encounter challenges when connecting and consolidating data from a variety of sources with different formats, structures, and protocols. Issues like inconsistent data quality, incompatible data schemas, and real-time synchronization can arise. Addressing these challenges typically involves robust data mapping, implementing data validation rules, and using middleware or ETL (Extract, Transform, Load) tools that support multiple data formats. Effective communication with stakeholders and thorough documentation also help ensure smooth integration processes.

What Is a Data Integration Developer?

A data integration developer uses a wide set of skills to support the performance of a data warehouse, from analyzing and managing information to supporting team members and thinking creatively to solve problems. Duties include studying data sources and data models, planning data solutions, delivering data integrations, setting mediated schemas through databases, and mentoring coworkers to follow procedures and answer technical questions. Job qualifications typically include a bachelor’s degree in computer science or software engineering and experience in computer programming and mathematics. Consulting and communication skills are helpful in this career.

What are the key skills and qualifications needed to thrive as a Data Integration Developer, and why are they important?

To thrive as a Data Integration Developer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and database management, typically backed by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and relevant certifications, is often required. Analytical thinking, attention to detail, and effective communication are vital soft skills for identifying integration needs and collaborating with cross-functional teams. These skills ensure seamless data flow, accurate reporting, and efficient support of business intelligence initiatives.
What are popular job titles related to Data Integration Developer jobs in Massachusetts? For Data Integration Developer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Integration Developer jobs in Massachusetts look for? The top searched job categories for Data Integration Developer jobs in Massachusetts are:
What are popular job titles related to Data Integration Developer jobs in MA? For Data Integration Developer jobs in MA, the most frequently searched job titles are:
Data Engineer

$124K - $149K/yr

Full-time

Posted 25 days ago


Job description

Job Title:- Teradata Developer with Data Analyst exp
Duration:- 8+ months
Location:- Onsite based out of Boston, MA (Only Locals)
Description:
The client is looking for a Data Warehouse Engineer(Contractor) to join the Enterprise Data Lake Team. The ideal candidate will be a well-rounded technologist with a passion for building scalable and maintainable data pipelines using SQL, Python, and some of the AWS technologies.
What you'll do:
• Design analytic solutions for business users that provide the data needed to operate the business
• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for the analytics platform
• Write scalable and maintainable ETL/ELT processes to run in batch using SQL, Airflow, and Python.
• Review code, and implementations and give meaningful feedback that helps others build better solutions
• Write documentation on design, architecture, and solutions
What you'll need:
• Experience in data warehouse design and 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 Experience in writing Airflow DAGs.
• 5+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools
• 5+ years of hands-on experience designing and developing scalable, high-performing, and fault-tolerant applications for large enterprises
• 5+ years of experience writing software in native Python
• Expert level knowledge of data integration and familiarity with common data integration challenges like converting data types, handling errors, and translating between different technology stacks
• Able to work in a fast-paced environment and be comfortable being accountable for work products
• Experience performing analytics to solve complex business problems
Bonus:
• Experience with cloud-based data warehouse platforms (e.g. Snowflake, etc.)
• Ability to work with AWS technologies - S3 buckets, Kinesis, Lambda, API Gateways, ECS, EKS, MWAA, etc.
• Background in e-commerce
• Agile experience is a plus
5+ years of experience is required
Top 3 must-haves:
1. Python
2. Snowflake
3. SQL