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Full Stack Data Engineer Jobs in Woonsocket, RI (NOW HIRING)

Platform Full Stack Engineer Location: Boston, Chicago, New York City, San Francisco, Silicon ... You will partner with a diverse group of engineers, data specialists, and product stakeholders to ...

Founding Full Stack Engineer

Boston, MA · On-site +1

$150K - $190K/yr

Own services, data models, and APIs end to end * Collaborate directly with founders on product ... engineering experience * Strong full stack background with modern JavaScript/TypeScript

Senior Full Stack Software Engineer

Boston, MA · On-site +1

$160K - $210K/yr

About the Role A growing technology startup is hiring a Senior Full Stack Software Engineer to help ... Solid understanding of relational databases and data modeling * Experience deploying and operating ...

Job Summary We are seeking a Full Stack Engineer with experience in building and maintaining enterprise applications within a multi-tier architecture. This role focuses on developing scalable, high ...

Key Responsibilities & Accountabilities: (30%)- As a Full Stack Engineer, the position will l ... Knowledge of healthcare data standards (e.g., FHIR). Familiarity with digital twin technologies or ...

Full Stack Engineer

Boston, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Full Stack Engineer

Brockton, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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Showing results 1-20

Full Stack Data Engineer information

See Woonsocket, RI salary details

$42.6K

$129.1K

$182.5K

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

As of May 30, 2026, the average yearly pay for full stack data engineer in Woonsocket, RI is $129,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $151,400.00 per year, depending on experience, location, and employer.

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 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 cities near Woonsocket, RI are hiring for Full Stack Data Engineer jobs? Cities near Woonsocket, RI with the most Full Stack Data Engineer job openings:

Full Stack Engineer

RedBeard Solutions

Boston, MA

$185K - $195K/yr

Full-time

Posted 27 days ago


Job description

Job Title: Platform Full Stack Engineer

Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC

Number of openings: 1

Experience: 7+ years of experience as a Software Engineer

Salary: $185,000-$195,000 + Strong Annual Bonus

Clearance: Secret (prefer TS)

Role Overview

We are looking for a seasoned Full Stack Engineer to contribute to the development of a next-generation AI platform powering advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge generative AI technologies within a highly collaborative and fast-paced engineering environment.

You will partner with a diverse group of engineers, data specialists, and product stakeholders to design and deliver scalable platform capabilities. A key focus of this position is adapting and extending platform functionality for government and defense-oriented applications.

Key Responsibilities
  • Design, develop, and maintain full-stack applications using Python, React, and Next.js

  • Build and integrate APIs and agent-based systems, including AI-driven and LLM-powered workflows

  • Leverage large language models (LLMs) for data processing, retrieval, and intelligent synthesis

  • Collaborate with cross-functional teams including engineers, data scientists, and product leaders

  • Implement robust testing, debugging, and code optimization practices

  • Contribute to the development of confidence scoring and validation pipelines for AI outputs

  • Develop and maintain CI/CD pipelines to support efficient software delivery

  • Work with knowledge graphs (Neo4j) and relational databases such as PostgreSQL or cloud-managed equivalents

  • Deploy and manage applications across cloud environments (AWS preferred; Azure and GCP are a plus)

  • Utilize containerization technologies to support scalable and portable deployments

  • Stay current with advancements in generative AI and agentic architectures, applying best practices to platform development

What You'll Gain
  • Hands-on involvement in building advanced AI and GenAI-driven platforms

  • A high-performance engineering culture with strong mentorship and growth opportunities

  • Continuous learning through structured programs and real-world technical challenges

  • The opportunity to influence product direction and contribute innovative solutions

  • Collaboration with globally distributed, highly skilled teams

  • Competitive compensation and a comprehensive benefits package

Required Qualifications
  • U.S. Citizenship is required

  • Experience supporting defense or government environments, including handling classified data

  • Active Secret clearance required (Top Secret or higher preferred)

  • 7+ years of professional experience in software engineering

  • Prior experience working on enterprise-scale platforms is preferred

Technical Skills & Expertise
  • Strong proficiency in Python for backend development

  • Hands-on experience building full-stack applications using React and Next.js

  • Experience with AI agents / agentic systems and LLM-based application design

  • Familiarity with knowledge graphs (Neo4j) and relational databases (PostgreSQL or cloud equivalents such as Amazon RDS)

  • Experience designing and managing CI/CD pipelines

  • Understanding of confidence scoring mechanisms and validation pipelines in AI systems

  • Experience working with cloud platforms (AWS, Azure, GCP)

  • Knowledge of containerization technologies (e.g., Docker)

  • Strong problem-solving skills and ability to work effectively in a collaborative, cross-functional environment