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Full Stack Data Engineer Jobs in Gardner, MA (NOW HIRING)

Full Stack AI Engineer

Dunstable, MA ยท Remote

$60 - $70/hr

Competitive salary Full Stack AI Engineer Introduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to ...

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial ...

Java Full stack Developer

Princeton, MA ยท On-site

$54.25 - $70/hr

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial ...

Electrolyzer Stack Engineer

Devens, MA ยท On-site

$75K - $130K/yr

We are seeking an Electrolyzer Stack Engineer to join our Stack Engineering team. In this role, you will contribute to the development of Electric Hydrogen's current and next-generation electrolyzer ...

Sr. Optimizely Developer

Templeton, MA ยท On-site +1

$121K - $159K/yr

We want an engineer who is not just a master of the Optimizely stack, but someone who is highly AI ... Experience: 5+ years of full-stack web development experience, with at least 3+ years of dedicated ...

Sales Engineer

Littleton, MA ยท On-site

$110K - $151K/yr

... and full-stack cooling solutions meet the thermal, mechanical, and integration needs of next ... data, and internal equity. $110,100.00 USD - $151,400.00 USD Annual Job Category Design, Process ...

Sales Engineer

Littleton, MA ยท On-site

$110K - $151K/yr

... and full-stack cooling solutions meet the thermal, mechanical, and integration needs of next ... data, and internal equity. $110,100.00 USD - $151,400.00 USD Annual Job Category Design, Process ...

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Showing results 1-20

Full Stack Data Engineer information

See Gardner, MA salary details

$47.1K

$142.8K

$201.8K

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 Gardner, MA is $142,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $167,400.00 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 Gardner, MA?

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

What cities near Gardner, MA are hiring for Full Stack Data Engineer jobs?

Cities near Gardner, MA with the most Full Stack Data Engineer job openings:

Full Stack AI Engineer

BIRDSVUE LLC

Dunstable, MA โ€ข Remote

$60 - $70/hr

Full-time

Retirement

Posted 16 days ago


Job description

Benefits:
  • 401(k)
  • Competitive salary

Full Stack AI EngineerIntroduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to deployment. You will work directly with product leadership and customers to create intelligent systems leveraging LLMs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native architectures.
Responsibilities:
AI & Agentic Systems
  • Design and develop AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source models.
  • Build multi-agent and agentic workflows using LangGraph, LangChain, Semantic Kernel, CrewAI, or equivalent frameworks.
  • Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems.
  • Integrate AI models with enterprise systems, APIs, SaaS platforms, and business workflows.
  • Design prompt orchestration, evaluation frameworks, guardrails, observability, and AI governance controls.
Full Stack Development
  • Build scalable frontend applications using React, Next.js, TypeScript, and modern UI frameworks.
  • Develop backend services, APIs, microservices, and event-driven architectures using Python (FastAPI), Node.js, or .NET.
  • Design and optimize SQL and NoSQL databases.
  • Implement authentication, authorization, and secure enterprise-grade integrations.
  • Create reusable APIs and SDKs for AI capabilities across multiple products.
Cloud & Platform Engineering
  • Deploy AI applications on Azure, AWS, or Google Cloud Platform.
  • Build containerized services using Docker and Kubernetes.
  • Implement CI/CD pipelines, infrastructure-as-code, monitoring, and observability.
  • Optimize AI infrastructure for scalability, performance, and cost efficiency.
Product & Innovation
  • Partner with product managers and customers to translate business challenges into AI solutions.
  • Rapidly prototype and productionize AI use cases.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Contribute to AI platform roadmap and innovation initiatives.
Requirements:
Required Qualifications:
  • Bachelor''s degree in Computer Science, Engineering, or related field.
  • 5+ years of full-stack software development experience.
  • Strong proficiency in: 
    • Python
    • TypeScript / JavaScript
    • React / Next.js
    • Node.js or FastAPI
  • Experience building REST APIs and microservices.
  • Hands-on experience with: 
    • OpenAI / Azure OpenAI APIs
    • RAG architectures
    • Vector databases (Pinecone, Weaviate, FAISS, Chroma, Azure AI Search)
    • LangChain, LangGraph, Semantic Kernel, or similar frameworks
  • Experience with Docker, Kubernetes, and cloud-native architectures.
  • Strong understanding of software engineering best practices, testing, CI/CD, and Agile development.

This is a remote position.