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Data Engineer Jobs in Massachusetts (NOW HIRING)

QTech US Inc

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Data Engineer Location: Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA, New York City, NY Contact: 12+ Months Looking for W2 candidates. No C2C Job Summary: We are seeking an experienced ...

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 ...

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

$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 ...

CVS Health

Data Engineer

Wellesley, MA · On-site

$125K - $150K/yr

As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of ...

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

$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 ...

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 ...

Clasp Group, Inc

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Data Engineer Location: Boston, MA Open to Remote in EST or CST Locations About Us Clasp is a venture-backed, mission-driven startup transforming access to education and career pathways. We are ...

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 ...

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 ...

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 ...

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 ...

Stellix Global Services

Lead Data Engineer

Foxboro, MA · On-site

$121K - $145K/yr

They are seeking a Senior Data Engineer to own and build their Enterprise Data Platform, supporting analytics and insights across the organization while emphasizing technical leadership and best ...

Kforce Technology Staffing

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are seeking a Senior Data Engineer to join a core engineering squad within our enterprise technology division. This hands-on role requires deep technical knowledge in enterprise data architecture ...

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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 27, 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

QTech US Inc

Boston, MA • On-site

$124K - $149K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Engineer
Location: Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA, New York City, NY
Contact: 12+ Months
Looking for W2 candidates. No C2C
Job Summary:
We are seeking an experienced Data Engineer to join our team in Chicago, IL. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and modern data infrastructure to support business intelligence, analytics, and machine learning initiatives. The successful candidate will have strong expertise in ETL/ELT development, cloud platforms, SQL optimization, and large-scale data processing.
Key Responsibilities:
Design, develop, and optimize scalable data pipelines for enterprise data platforms.
Build and maintain robust data ingestion frameworks from multiple structured and unstructured data sources.
Develop, implement, and optimize ETL/ELT workflows for processing large-scale datasets.
Design and maintain data models to support reporting, analytics, and business intelligence.
Monitor data pipeline performance and troubleshoot production issues.
Ensure data accuracy, integrity, security, and governance across all data platforms.
Optimize SQL queries and database performance for high-volume workloads.
Implement data quality checks, validation frameworks, and monitoring processes.
Collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver reliable data solutions.
Support cloud-based data engineering initiatives and continuously improve data processing performance.
Required Skills:
Strong experience with Data Engineering concepts and best practices.
Expertise in ETL/ELT pipeline development.
Strong SQL programming and query optimization skills.
Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
Hands-on experience building scalable data pipelines.
Knowledge of data modeling and data warehousing concepts.
Experience with data integration from multiple data sources.
Strong troubleshooting and performance tuning skills.
Familiarity with data governance, security, and data quality frameworks.
Preferred Skills:
Experience with PySpark, Spark, or distributed data processing frameworks.
Experience with Azure Data Factory (ADF), Databricks, or similar ETL tools.
Exposure to machine learning data pipelines.
Knowledge of DevOps and CI/CD for data engineering.
Best Regards,
Teresa Rose

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