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Full Stack Data Engineer Jobs in Rhode Island (NOW HIRING)

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 ...

CGI Inc.

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 ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Rhode Island

Full Stack Data Engineer information

See Rhode Island salary details

$43.6K

$132K

$186.6K

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 Rhode Island is $131,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $154,700.00 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 Rhode Island? For Full Stack Data Engineer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Rhode Island look for? The top searched job categories for Full Stack Data Engineer jobs in Rhode Island are:
What cities in Rhode Island are hiring for Full Stack Data Engineer jobs? Cities in Rhode Island 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 Rhode Island as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,982 per year, or $63.5 per hour.

Full Stack Engineer (Heavy Data)

HCL Global Systems Inc

Smithfield, RI • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
HCL Global Systems Inc is seeking a Full Stack Engineer (Heavy Data) to work in Smithfield, RI. The role involves developing and maintaining technology solutions for Defined Contribution business operations, requiring strong hands-on experience with Java, Spring, and Angular.
Responsibilities:
• developing and maintaining technology solutions supporting Defined Contribution (DC) business operations
• supporting plan sponsors in the configuration of DC plans
• working in a mixed-technology environment including Java, Spring, Angular, and Oracle across multiple application tiers
• possessing strong hands-on experience with Java core, Spring, and Web Services development using Angular, REST APIs, and related technologies
• having experience across the full software development lifecycle including roadmap planning, design, development, deployment, and rotational production support
Qualifications:
Required:
• 6+ years of programming experience in Java, JavaScript frameworks, and client-side technologies
• Strong understanding of Microservices architecture using Spring WS, REST patterns, OAuth, Swagger, and Apache Camel
• Experience with DevOps concepts and implementation
• Expertise in Java 8, Spring, and Spring Boot development
• Experience developing RESTful APIs and service orchestration/routing solutions
• Strong experience with Server-Side Java, J2EE, REST, SQL, JUnit, and Tomcat
• Experience with front-end technologies including HTML5, Angular, JavaScript, CSS, JSON, and Responsive Web Design
• Experience working in Agile environments with CI/CD, Git, Maven, and JIRA
• Experience with containerization and cloud deployment technologies, preferably Azure Cloud
• Experience with API modeling tools such as Swagger
• Experience building reusable frameworks, SDKs, interceptors, and abstraction-based solutions
• Strong understanding of Data Structures including Binary Trees, Binary Search Trees, Graphs, and traversal algorithms
• Ability to analyze business/system requirements and develop technical solutions
• Strong communication and collaboration skills
Preferred:
• Bachelor's degree in Computer Science preferred
Company:
HCL Global Systems is a staffing and recruiting company providing consulting and business solutions. Founded in 2005, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
HCL Global Systems logo

About HCL Global Systems

Sourced by ZipRecruiter

HCL Global Systems is One of the Best IT Consulting Firm specialized in Application Development, Quality Testing, IT Courses Training, Staffing and Recruitment services. With wide range of experience, We are confident in our ability to help our Customers grow and improve their businesses. More than likely, regardless of the nature and scope of the problem, Our dedicated Team of Professionals can help you to achieve a cost effective business solution.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

2005

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