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Full Stack Data Engineer Jobs in Raleigh, NC (NOW HIRING)

CGI Inc.

Full Stack Engineer

Durham, NC · On-site

Full Stack Engineer Category: Software Development/ Engineering Main location: United States, North ... Full stack your career By playing this video you consent to Google/YouTube processing your data and ...

Mastech Digital

Full Stack Engineer

Durham, NC · Remote

$65 - $72/hr

We are currently seeking a Full Stack Engineer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

Mastech Digital

Full Stack Engineer

Durham, NC · On-site

$70/hr

We are currently seeking a Full Stack Engineer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

ShyftOff

Senior Full Stack Engineer

Raleigh, NC · On-site

To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ... FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot ...

Versana

Full Stack Software Engineer

Raleigh, NC

About Us: Versana is an industry-backed data and technology company on a mission to make the ... The Full Stack Software Engineer will work closely with seasoned technology leaders and colleagues ...

CGI Inc.

Sr. Full Stack Engineer

Durham, NC · On-site

Sr. Full Stack Engineer Category: Software Development/ Engineering Main location: United States ... Full stack your career By playing this video you consent to Google/YouTube processing your data and ...

Versana

Full Stack Software Engineer

Raleigh, NC · On-site

About Us: Versana is an industry-backed data and technology company on a mission to make the ... The Full Stack Software Engineer will work closely with seasoned technology leaders and colleagues ...

Versana

Full Stack Software Engineer

Raleigh, NC

About Us: Versana is an industry-backed data and technology company on a mission to make the ... The Full Stack Software Engineer will work closely with seasoned technology leaders and colleagues ...

Tekniforce

Senior Full Stack .NET Engineer

Raleigh, NC · On-site

We are looking for a Senior Full Stack .NET Engineer. This is a full time direct hire position in Raleigh, North Carolina with our client. In this role as a Senior Full Stack .NET Engineer you will ...

Globant

Full Stack Engineer

Raleigh, NC

We are looking for a smart and passionate Full stack engineer to join our team. * You will be ... Expertise in object-oriented programming, data structure, and algorithms. * Effective verbal and ...

ClifyX

Sr. Full Stack Developer

Morrisville, NC · On-site

Job Summary : ClifyX is a company seeking a Senior Full Stack Developer. The role involves ... Next.js or similar frameworks. • Experience with relational and/or NoSQL databases, data modeling ...

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Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Raleigh, NC

Full Stack Data Engineer information

See Raleigh, NC salary details

$43.3K

$131K

$185.2K

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

As of Jul 18, 2026, the average yearly pay for full stack data engineer in Raleigh, NC is $131,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $153,600.00 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 Raleigh, NC? For Full Stack Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Full Stack Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Stack Data Engineer jobs? Cities near Raleigh, NC with the most Full Stack Data Engineer job openings:
Full Stack Data Engineer jobs near you

Full Stack Lead Engineer

Meta Force Technology Staffing LLC

Raleigh, NC • On-site

Contractor

Posted 16 days ago

Job description

 Full Stack Lead Engineer – AI Platform (React, Node.js, GCP)
Location: Remote
Duration: 6-12 Months
 
Important Notes:
* Early submissions will receive priority consideration.
* We are looking for a Full Stack Lead Engineer who doesn’t just write code, but thinks in systems, builds fast, and helps shape the future of both product and team.
* This isn’t just code - it is architecture, product thinking, challenging the status quo, problem framing, fast iteration, and building systems that scale with intelligence and intent. It’s about leading the charge in building something that actually matters.
Job Description:
* We are seeking a Full Stack Lead Engineer who is both a hands-on technologist and a systems thinker.
* The ideal candidate combines deep technical expertise with product intuition — capable of architecting scalable solutions, iterating rapidly on MVPs, and collaborating closely with product, design, and leadership teams to define the next generation of intelligent digital experiences.
Responsibilities:
* Lead full-stack development across the product lifecycle — from concept to deployment, focusing on both performance and scalability.
* Collaborate with Product Design and Product Management to define, prototype, and evolve the modular AI-driven platform.
* Develop and maintain backend systems using Node.js or NestJS, integrating with AI services, APIs, and data workflows.
* Design complex frontend components using React, Tailwind CSS, and micro-frontend architecture (Module Federation, Nx).
* Build custom middleware to manage sessions, prompts, data flows, and user permissions between frontend and backend AI systems.
* Integrate third-party SaaS tools and automation agents through robust APIs and connectors.
* Drive engineering excellence and culture, fostering autonomy, ownership, and innovation within the team.
* Contribute to DevOps and infrastructure decisions related to GCP, scalability, CI/CD, and deployment automation.
* Prototype and iterate quickly, navigating ambiguity with creativity and problem-solving.
Required Skills & Experience:
* 8+ years of full-stack development experience, with 2+ years in a lead or senior engineer role.
* Deep expertise in React, JavaScript/TypeScript, Tailwind CSS, and modern frontend tooling (Jest, Cypress, Nx).
* Strong proficiency in Node.js or NestJS for backend development.
* Proven experience with GCP (Google Cloud Platform) or equivalent (AWS, Azure) — including deployments, infrastructure, and scaling.
* Experience with Micro-Frontends and modular architectures.
* Knowledge of middleware, API design, and AI or SaaS integrations.
* Familiarity with backend languages like Java or .NET is a plus.
* Strong understanding of system design, architecture patterns, and end-to-end product delivery.
* Demonstrated ability to lead, mentor, and inspire engineering teams.
* Excellent communication, collaboration, and decision-making skills in fast-paced environments.
Preferred Qualifications:
* Experience building or integrating AI-driven platforms or chat interfaces.
* Background in DevOps/Cloud Architecture and CI/CD tooling.
* Prior work in a product company or startup environment with rapid iteration cycles.
* Demonstrated ownership of a customer-facing product from concept to launch