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Data Engineer Jobs in Massachusetts (NOW HIRING)

RA Capital Management, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers research, investment, and operational workflows across the firm. Beyond traditional data pipelines ...

New

Beghou Consulting

Data Engineer

Boston, MA

$124K - $149K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next ...

New

Dlapiper

Data Engineer

Boston, MA

$124K - $149K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants

Data Engineer

Wakefield, MA

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

The Computer Merchant, Ltd

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE*: $78 - 84/ hour JOB NUMBER: 37477090 REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data ...

Mass General Brigham

Data Engineer

Somerville, MA · On-site

$125K - $150K/yr

Reporting to the Data Engineering Manager, the Data Engineer will be a member of a cross-functional team responsible for developing new clinical data products. The areas of focus include Quality ...

Massgeneralbrigham

Data Engineer

Somerville, MA · On-site

$125K - $150K/yr

Reporting to the Data Engineering Manager, the Data Engineer will be a member of a cross-functional team responsible for developing new clinical data products. The areas of focus include Quality ...

Cushman & Wakefield

Data Engineer

Boston, MA

$124K - $149K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Boston, MA

$124K - $149K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Boston, MA

$124K - $149K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

BRUNT Workwear

Data Engineer

North Reading, MA · On-site

$117K - $140K/yr

They are seeking a hands-on Data Engineer to modernize their data infrastructure and support the transition to an AI-ready data platform, partnering closely with data analysts and full-stack ...

RA Capital Management, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers research, investment, and operational workflows across the firm. Beyond traditional data pipelines ...

New

Cushman & Wakefield

Data Engineer

Boston, MA

$124K - $149K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

BRUNT Workwear

Data Engineer

Reading, MA · On-site

$120K - $145K/yr

We are seeking a hands-on Data Engineer to serve as our principal engineering resource, bringing the discipline, documentation rigor, and modern tooling needed to harden and scale our data ...

BRUNT Workwear

Data Engineer

North Reading, MA

$119K - $143K/yr

We are seeking a hands-on Data Engineer to serve as our principal engineering resource, bringing the discipline, documentation rigor, and modern tooling needed to harden and scale our data ...

MDAEdge

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

MDAEdge is a company seeking a Data Engineer to establish and manage database systems. The role involves designing data models, building data pipelines, and ensuring data integrity to support ...

Spyglass Partners, LLC

Sr. Data Engineer

Westwood, MA · On-site

$128K - $153K/yr

They are seeking a Sr. Data Engineer who will be responsible for data validation, data response, data engineering, data querying, and utilizing SQL Server databases along with Python and PySpark.

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All JobsData Engineer JobsData Engineer Jobs in Massachusetts

Data Engineer information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do data engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineer in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Massachusetts? The most popular types of Data Engineer jobs in Massachusetts are:
What are popular job titles related to Data Engineer jobs in Massachusetts? For Data Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Massachusetts look for? The top searched job categories for Data Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Engineer jobs? Cities in Massachusetts with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in MA? For Data Engineer jobs in MA, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $141,666 per year, or $68.1 per hour.

Data Engineer

RA Capital Management, LLC

Boston, MA • On-site

$124K - $149K/yr

Other

Posted 2 days ago

New

Job description

About the Team

RA Capital's Data Engineering team builds the enterprise data platform that powers research, investment, and operational workflows across the firm. Beyond traditional data pipelines, we are actively developing AI-native data access patterns that enable users to interact with complex healthcare datasets through LLM-powered, governed, and auditable interfaces.

Our work sits at the intersection of healthcare data, large-scale data engineering, and applied AI, with a strong emphasis on reliability, compliance, and production readiness.

About the Role

We are seeking an engineer to help build and operate AI-enabled data platforms for healthcare data.

This role goes beyond traditional ETL. You will work on healthcare data pipelines and contribute to AI-driven data access layers where large language models translate user intent into structured, governed queries, such as SQL or GraphQL. You will help bridge enterprise data systems with LLM-based interfaces that support self-service analytics, discovery, and decision-making.

Responsibilities

  • Design and maintain scalable, production-grade data pipelines for healthcare datasets, including claims and provider data.

  • Build and optimize data models in Databricks to support analytical and AI-driven workloads.

  • Develop high-quality Python and SQL code for data standardization, reconciliation, and validation.

  • Partner with AI/ML engineers to enable LLM-powered data access.

  • Contribute to AI-native data access frameworks.

  • Collaborate with healthcare data vendors and internal stakeholders.

  • Implement monitoring, validation, and governance for data and AI workflows.

  • Document data architectures and AI-enabled pipelines.

Key Skills and Experience

  • Strong foundation in data engineering and data modeling.

  • Proficiency in SQL, Python, Java, and Spark.

  • Hands-on experience with Databricks and/or Snowflake.

  • Experience in software development, data integration, vendor data management, and writing production-grade code for data reconciliation.

  • Experience working with healthcare or other regulated datasets.

  • Hands-on experience with, or a strong interest in, LLM-powered enterprise systems.

  • Familiarity with GraphQL or other API-based data access methods.

  • Strong documentation and communication skills.

Key Requirements

  • Bachelor's degree or higher in Computer Science, Data Science, Information Technology, Software Engineering, or a related field. A master's degree is preferred.

  • 1-3+ years of experience in software or data engineering.

  • Authorization to work in the United States without current or future sponsorship.

  • Must be based in Massachusetts, able to work in the Boston area, and available to work a hybrid schedule. Relocation assistance is not provided.

  • Flexibility to work outside standard business hours as needed.

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