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Data Engineer Jobs in Massachusetts (NOW HIRING)

Data Engineer

Boston, MA

$124K - $149K/yr

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive to build things that matter? We're looking for a Data Engineer to join our high-visibility Enterprise ...

New

Data Engineer

Boston, MA

$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 ...

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 ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive to build things that matter? We're looking for a Data Engineer to join our high-visibility Enterprise ...

New

Data Engineer

Boston, MA · On-site

$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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

Data Engineer information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do data engineer jobs pay per year?

As of Aug 3, 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.
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 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:
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.

$124K - $149K/yr

Other

Posted 2 days ago

New


Hasbro rating

7.9

Company rating: 7.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Step Into the Multiverse: Your Next Adventure Starts Here

At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering, the rich storytelling of Dungeons & Dragons, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure.

We are growing our Enterprise Data & Engineering team!

Do you have a passion for data and a drive to build things that matter? We're looking for a Data Engineer to join our high-visibility Enterprise Data & Engineering team, helping Hasbro better reach consumers with compelling products and entertainment. This is a great opportunity for an emerging engineer eager to grow their skills and make a real impact in a collaborative, data-driven environment.

In this role, you will contribute to the development and optimization of data pipelines, transformations, and analytics infrastructure that power decision-making across the business. You'll work alongside senior engineers, data scientists, and analysts, gaining hands-on experience with modern cloud data platforms and growing into the kind of engineer who can one day lead complex, enterprise-scale data initiatives.

We value diverse perspectives and welcome candidates who bring different experiences and approaches to solving data challenges.

What You'll Do

  • Build, maintain, and optimize data pipelines and ETL/ELT workflows that move and transform data across cloud platforms including Azure and AWS.
  • Write and tune complex SQL queries to support analytics, reporting, and data modeling needs.
  • Participate in the design and implementation of data engineering infrastructure, learning standards from senior engineers and technical leads.
  • Support data quality monitoring and validation efforts, helping to ensure the accuracy, completeness, and reliability of data products.
  • Contribute to code reviews, testing, and documentation as part of a culture of engineering excellence.
  • Collaborate with data scientists, analytics engineers, and business partners to understand data needs and deliver scalable solutions.
  • Assist in the integration of AI and machine learning solutions into data workflows to improve efficiency and elevate the consumer experience.
  • Develop familiarity with data governance principles, including metadata management and data lineage.

What You'll Bring

  • 1-3 years of hands-on experience in data engineering, software engineering, or a related field - or equivalent demonstrated skills through internships, academic projects, or self-directed work.
  • Solid foundation in SQL; experience writing queries to extract, transform, and analyze data.
  • Exposure to at least one scripting language (Python preferred) for data manipulation, automation, or pipeline development.
  • Familiarity with cloud-based data ecosystems (Azure, AWS, or GCP) and a curiosity to deepen that knowledge.
  • Understanding of core data engineering concepts: ETL/ELT pipelines, data warehousing, and batch processing.
  • Awareness of or interest in tools like DBT, Databricks, Airflow, Snowflake, or Kafka - experience with any is a plus.
  • A self-starter mindset with genuine curiosity for solving unstructured data problems and working with large datasets.
  • Familiarity with or curiosity about AI-enabled development tools (such as GitHub Copilot, Cursor, or similar coding assistants) and an interest in leveraging them to write better code, accelerate development, and improve engineering workflows.
  • Strong written and verbal communication skills, with the ability to work effectively across technical and non-technical teams.
  • Bachelor's or master's degree in Computer Science, Information Systems, or a related field, with equivalent experience accepted.

At Wizards, we believe in the magic of diversity-great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status.

Wizardswill provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator.  


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