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

Full stack Developer will be responsible for designing, developing, and maintaining our web applications and services. The ideal candidate will have extensive experience in front and backend ...

Java Full Stack Engineer

Providence, RI · On-site

$53 - $68.50/hr

S. - Work-life flexibility By playing this video you consent to Google/YouTube processing your data and using cookies - Learn more. Position Description: Join CGI as a Java Full Stack Engineer and ...

Full-Stack Developer (Java)

Boston, MA · On-site

$57 - $73.50/hr

... Full-Stack Developer Boston, MA Contract Only US Ciitizens / GC Holders At least 7 years of ... Experience with No SQL databases, parallel data processing environment (Hadoop, Hbase) is a strong ...

We are seeking a Senior Full Stack Engineer to build scalable web applications and digital experiences that support a large customer base. This role involves developing omni-channel platforms ...

This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional ... As a Senior Full Stack Engineer, you will be responsible for building robust, scalable features and ...

Full Stack Java Developer

Boston, MA

$57 - $73.50/hr

Full Stack Java Developer Location: Boston/Portsmouth, MA Job Type: Full time JOB RESPONSIBILITIES: * Should be able to write / design Cloud native code in Java, JavaScript based that meets the ...

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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 Jul 13, 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 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:
Senior Full Stack Software Engineer - Claims Technology

Senior Full Stack Software Engineer - Claims Technology

Liberty Mutual

Boston, MA • On-site

$106K - $197K/yr

Full-time

Posted 20 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance


Job description


Description

Overview

Location & Work Schedule: These roles offer a hybrid work schedule (2 days onsite) and we are considering candidates based in

the following locations:

Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH with a preference towards Portsmouth and Indianapolis.

We are seeking a Senior Software Engineer with strong full stack development experience and deep familiarity with AWS services and cloud-native engineering practices. This role will design, build, test, deploy, and support modern digital and service-based solutions that improve claims experiences for customers, adjusters, and internal partners.

You’ll contribute across the full software development lifecycle, from user-facing applications to backend services, APIs, cloud infrastructure, and production support. This is a great opportunity for an engineer who thrives in a fast-moving environment, enjoys solving complex business and technical challenges, and wants to help modernize claims technology through full stack development and cloud-native engineering.

Candidate Profile

You are a strong, hands-on engineer who combines technical depth with curiosity, ownership, and a bias for action. You enjoy building robust, scalable applications and services, and you are comfortable working across frontend, backend, cloud infrastructure, and integrations.

You bring:

  • Strong full stack engineering skills across modern frontend frameworks and backend services
  • Experience designing and building cloud-native applications in AWS
  • A problem-solving mindset and the ability to navigate ambiguity
  • A focus on reliability, security, performance, and maintainability
  • Strong collaboration and communication skills in Agile, cross-functional teams
  • A passion for continuous improvement, mentoring others, and delivering business value

What You’ll Do

As a Senior Software Engineer, you will own medium-to-large features and services end-to-end, helping modernize and evolve our claims technology ecosystem.

Core Responsibilities

  • Design, develop, test, deploy, and support full stack software solutions in an Agile product team
  • Build modern web applications and backend services that support claims experiences and operational workflows
  • Develop scalable APIs, microservices, and event-driven integrations using Java / Spring Boot and cloud-native patterns
  • Build and maintain responsive frontend applications using JavaScript/TypeScript and modern frameworks such as React, Angular, or Vue
  • Design and implement AWS-based solutions using services such as:
    • Lambda
    • API Gateway
    • S3
    • RDS / DynamoDB
    • SQS / SNS
    • Step Functions
    • CloudWatch
    • IAM
    • ECS / EKS or other container-based runtime platforms
  • Create and maintain secure APIs and integrations aligned with enterprise standards
  • Implement secure authentication and authorization patterns leveraging enterprise identity solutions
  • Design, optimize, and troubleshoot data models and application data flows across relational and cloud-native data stores
  • Lead troubleshooting and root cause analysis for production issues; improve system reliability, resilience, and performance
  • Build and enhance CI/CD pipelines using GitHub Actions and related automation, testing, and quality tooling
  • Improve observability using tools such as Datadog and Splunk, including dashboards, alerting, metrics, logs, and tracing
  • Participate in discovery, estimation, technical design, story writing, and documentation
  • Contribute to engineering best practices across code quality, testing, automation, and operational readiness
  • Mentor engineers and help elevate team standards and execution

What we’re looking for 

  • Owns medium-to-large features end-to-end, including design, implementation, testing strategy, and production readiness.
  • Leads troubleshooting and performance tuning (application and database).
  • Drives API/integration work (Apigee patterns, identity/security considerations).
  • Improves engineering practices (CI/CD, test automation, code quality) and mentors others.
  • Ensures established standards for observability, deployment, resiliency, and developer productivity across teams.
  • Partners with product, architecture, and security stakeholders; makes and communicates trade-offs clearly.
  • Mentors team members and ensures High-Performing Engineering standards are chosen and monitored with the team
  • Strong software engineering fundamentals: clean code, testing, debugging, and design.
  • Experience integrating systems via APIs and working with enterprise standards (security, logging, monitoring).
  • Ability to work in Agile teams using modern delivery practices (iteration, experimentation, continuous improvement).
  • Effective communication and collaboration; able to document and explain technical decisions.
  • Experience and openness to utilizing AI Software Development Tools (GitHub Actions Copilot etc.)

Why this role matters

You’ll help deliver resilient, secure, and scalable claims technology that improves experiences for both customers and employees. Your work will directly support the systems and digital capabilities that help people when they need us most.

This is an opportunity to contribute to meaningful business outcomes while working in a modern engineering environment focused on cloud adoption, full stack development, operational excellence, and continuous improvement.

Qualifications
  • Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience
  • 5+ years of software engineering experience
  • Strong experience designing, developing, and supporting production applications
  • Demonstrated ability to work across frontend, backend, API, cloud, and operational concerns
  • Experience working in enterprise environments with security, monitoring, and reliability standards
  • Experience with CI/CD pipelines, automated testing, and modern DevOps practices
  • Experience troubleshooting application and database performance issues
  • Experience or openness to using AI-assisted software development tools 

Core Technologies

  • Cloud: AWS-based solutions using services such as 
    • Lambda
    • API Gateway
    • S3
    • RDS / DynamoDB
    • SQS / SNS
    • Step Functions
    • CloudWatch
    • IAM
    • ECS / EKS or other container-based runtime platforms
  • Backend: Java, Spring Boot
  • Frontend: JavaScript, TypeScript, React / Angular / Vue
  • API & Integration: REST APIs, event-driven architecture, enterprise integration patterns
  • Containers/Runtime: Kubernetes, ECS, EKS, cloud-native deployment platforms
  • CI/CD: GitHub Actions, automated testing, deployment pipelines
  • Observability: Datadog, Splunk
  • Data: SQL Server, relational databases, cloud-native data services
  • Security & Identity: Enterprise authentication/authorization solutions, secure API practices
  • AI Developer Tooling: GitHub Copilot, Microsoft Copilot, LibertyGPT or similar developer productivity tools
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. 

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits 
  
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.  
  
Fair Chance Notices  

  • California 
  • Los Angeles Incorporated 
  • Los Angeles Unincorporated 
  • Philadelphia 
  • San Francisco 

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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