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

Scadea

Full Stack Engineer

Boston, MA

Full Stack Engineer Location: Boston, MA - 5 days a week onsite is required Length: 6-10 months Top Skills Required: Top must haves: Java & AWS - with some exposure to React is fine Must be a team ...

twenty80.io

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

twenty80.io

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 ...

Eliassen Group

Full Stack Engineer

Smithfield, RI · On-site

$69 - $74/hr

Hybrid Every Other Week onsite / 5 days in Smithfield, RI Our client seeks a Senior Full Stack Engineer to join a Scrum team within Digital Platforms Technology. The role involves crafting, building ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Woonsocket, RI

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 Jul 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 engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

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 does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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.

What engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

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 Woonsocket, RI? For Full Stack Data Engineer jobs in Woonsocket, RI, the most frequently searched job titles are:
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 Data Engineer jobs near you

Full Stack Engineer

Scadea

Boston, MA

Full-time

Posted 7 days ago

Job description

Job Title: Full Stack Engineer
Location: Boston, MA - 5 days a week onsite is required 
Length: 6-10 months
Top Skills Required:
Top must haves: Java & AWS – with some exposure to React is fine
Must be a team collaborator
React/NodeJS + AWS + Python
Minimum 10+ years of experience
Industry Experience:
No expectations on industry experience, but Asset Management or Financial Services is nice to have
Full Stack Engineer_ React/NodeJS + AWS + Python JD
We are looking for a Full Stack Engineer to design, build, and support scalable web applications using modern frontend and backend technologies. In this role, you’ll work across the full development lifecycle—owning features end to end and collaborating closely with product, design, and engineering teams to deliver high-quality solutions.
Your Impact
• Design and develop responsive, user-facing applications using React
• Build and maintain backend services and APIs using Node.js and Python
• Develop, deploy, and maintain cloud-based solutions on AWS
• Collaborate with product managers, UX designers, and other engineers to translate business requirements into technical solutions
• Write clean, reusable, and testable code following best practices
• Participate in code reviews, architecture discussions, and continuous improvement initiatives
• Troubleshoot, debug, and optimize application performance across the stack
Skills & Experience
• Strong experience with React (hooks, state management, component-based architecture)
• Solid backend development experience with Node.js and/or Python
• Hands-on experience with AWS services (e.g., EC2, Lambda, S3, RDS, DynamoDB, API Gateway)
• Experience building and consuming RESTful APIs
• Familiarity with SQL and/or NoSQL databases
• Understanding of CI/CD pipelines and modern deployment practices
• Experience with Git-based version control workflows
• Strong problem-solving skills and the ability to work independently and collaboratively
Nice to Have
• Experience with serverless architectures
• Familiarity with containerization tools (Docker, Kubernetes)
• Knowledge of frontend testing frameworks (Jest, React Testing Library)
• Exposure to Agile/Scrum development environments