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Data Engineer Jobs in Massachusetts (NOW HIRING)

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 ...

Posted today

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 · On-site

$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 ...

Cushman & Wakefield

Data Engineer

Boston, MA · On-site

$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 ...

Cushman & Wakefield

Data Engineer

Boston, MA · On-site

$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

$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.

BeaconFire Solution

SIEM Data Engineer

Quincy, MA · On-site

$45 - $50/hr

for SIEM Data Engineer Position Who we are looking for: Cyber Data & Analytics team is looking for a SIEM Data Engineer . The Cyber Data & Analytics team delivers models, insights, and tooling to ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the ...

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Showing results 1-20

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 29, 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

Data Engineer

Beghou Consulting

Boston, MA

$124K - $149K/yr

Full-time

Posted 19 hours ago

Posted today

Job description

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

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-generation AI-forward data platform, enabling scalable, secure, and high-performance data solutions that power advanced analytics and machine learning.

If you thrive in a collaborative environment and enjoy solving complex technical challenges.

 
We'll Trust you to:
  • Design, develop, optimize, and support Beghou's AI-forward data platform.
  • Build scalable data pipelines and ETL/ELT workflows using Databricks, Python, and PySpark.
  • Develop cloud-native data solutions on AWS and/or Azure.
  • Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.
  • Optimize data processing performance, reliability, and scalability.
  • Collaborate with data scientists, software engineers, and business stakeholders to deliver high-quality data products.
  • Apply cloud security and identity management best practices across the platform.
  • Evaluate and incorporate AI tools into development workflows to improve engineering productivity and solution quality.
  • Contribute to continuous improvement of engineering standards, architecture, and platform capabilities.
You'll need to have:
  • Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
  • 3+ years of professional data engineering experience.
  • Strong programming experience with Python, including pandas and/or PySpark.
  • Hands-on experience with Databricks and modern cloud platforms (AWS and/or Azure).
  • Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or Snowflake.
  • Experience using Git-based source control and modern CI/CD practices.
  • Experience with identity and access management technologies such as Azure AD, Okta, OAuth, or SAML.
  • Knowledge of cloud security best practices.
Preferred Qualifications
  • Experience with ETL platforms such as Azure Data Factory, Informatica, SnapLogic, or Boomi.
  • Experience with containerization technologies including Docker, Kubernetes, or AWS ECS.
  • Experience developing web applications using Flask, Django, JavaScript, HTML/CSS, or Ajax.
  • Experience incorporating AI-assisted development tools into engineering workflows.
  • Industry certifications such as:
  • Databricks Certified Data Engineer
  • AWS Certified Data Engineer
  • Microsoft Azure/Fabric Data Engineer
  • Google Cloud Professional Data Engineer
  • Experience in the life sciences, healthcare, or pharmaceutical industry.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $85,000 to $105,000.
 
We are currently unable to consider candidates who require or will require sponsorship for work authorization in the future. Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.

At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!

Compensation and Benefits:
Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following:

Health & Wellness
We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.

Work-Life Balance
Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in-person collaboration and remote flexibility.

Financial Wellness
We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program.

Growth & Giving Back
Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match.

Culture & Values
Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact. 

Equal Opportunity Employer
We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Must be legally authorized to work in the United States.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.