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Full Stack Data Engineer Jobs in Massachusetts (NOW HIRING)

Nebulock Inc.

Senior Full Stack Engineer

Boston, MA · On-site

$100 - $130/hr

... various data sources. Nebulock acts like a teammate: a 24/7 AI threat hunter that investigates ... Position Overview As a Senior Full Stack Engineer on the team, you will own features end to end.

PROLIM Global Corporation

Java Full Stack Developer

Boston, MA · On-site

$57.25 - $73.75/hr

Java Full Stack Developer Location: Boston, MA - onsite Duration: 6 months Contract Job Summary: We ... Business, Data layers) ensuring scalability and maintainability. • Develop responsive and ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Massachusetts

Full Stack Data Engineer information

See Massachusetts salary details

$48.6K

$147.2K

$208.1K

How much do full stack data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for full stack data engineer in Massachusetts is $147,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $172,600.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack 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 full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

What are popular job titles related to Full Stack Data Engineer jobs in Massachusetts?

For Full Stack Data Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Massachusetts look for?

The top searched job categories for Full Stack Data Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Full Stack Data Engineer jobs?

Cities in Massachusetts with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,186 per year, or $70.8 per hour.

Senior Full Stack Platform Engineer

Realtime Robotics

Boston, MA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Job description

We're redefining how robots are deployed. Our platform enables users to simulate, test, and optimize entire robotic systems in parallel. By removing the barriers that have kept advanced robotics out of reach for all but the largest players, we're ushering in a new era of manufacturing—one where mass reshoring is not only viable, but inevitable.

We are seeking a skilled Senior Full-stack Engineer to join our team in a full-time position. Reporting to the Director of Platforms, you will work on projects that require expertise in both front-end and back-end development, specifically using React, Next.js, and AWS services. Your role will involve developing, implementing, and maintaining full-stack web applications with a focus on scalable multi-tenant distributed systems architecture.

  • Help build a distributed cloud platform that powers robotic simulation, deployment, and analytics workflows across customer environments.
  • Collaborate with product and UX to break down ambiguous problems and deliver intuitive and performant user experiences for complex technical workflows.
  • Contribute to the technical design for major platform features and services with consideration for security, scalability, reliability, maintainability, and developer productivity.
  • Design and implement backend application services, APIs, and asynchronous workflows that power core platform functionality.
  • Improve observability, monitoring, analytics, and operational tooling across the platform.
  • Mentor other engineers through design reviews, code reviews, and technical guidance.
  • Identify and address technical debt, performance bottlenecks, and reliability risks proactively.
  • Contribute to engineering standards, deployment practices, and system architecture evolution.
  • Contribute to frontend architecture and implementation using React and Next.js.

Requirements

Requirements
  • 5+ years building and operating production full-stack or backend-heavy applications in collaborative engineering environments.
  • All candidates must be legally authorized to work in the United States now and in the future.
  • Strong experience designing and implementing scalable backend services, APIs, and data models for production systems.
  • Experience operating cloud-native systems in AWS, including observability, monitoring, deployment workflows, and reliability considerations.
  • Experience contributing to architectural decisions and evaluating tradeoffs around scalability, maintainability, and performance.
  • Strong understanding of relational and/or NoSQL databases, including indexing, query optimization, schema evolution, and data access patterns.
  • Demonstrated ability to debug complex production issues across distributed systems and frontend/backend boundaries.
  • Experience mentoring engineers through code reviews, technical discussions, and collaborative development practices.
  • Strong proficiency in TypeScript and React, with experience working within large multi-contributor codebases.
  • Experience with infrastructure-as-code (CDK, Terraform) and CI/CD workflows.
  • Familiarity with distributed systems concepts such as concurrency, retries, consistency, and fault tolerance.
Preferred
  • Experience working in environments subject to security or compliance requirements such as SOC 2, ISO 27001, or similar standards.
  • Experience integrating with enterprise identity platforms using OAuth2, OpenID Connect, SAML, or SCIM.
  • Experience with role-based or attribute-based access control systems for multi-tenant applications.
  • Experience with multi-cloud or cloud-agnostic architectural patterns

Benefits

  • Competitive Healthcare Coverage
  • Unlimited PTO
  • Commuting Expenses Covered
  • Telecommunications Stipend
  • 401k Match
  • HSA Employer Contribution

Realtime Robotics, Inc. located at 27 Wormwood St Ste 110, Boston, MA 02210 is an equal opportunity employer.