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

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied ... As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and ...

Full Stack Java Developer

Raleigh, NC · On-site

$90K - $120K/yr

... data through intuitive and scalable applications. The Full Stack Java Developer will work closely with technology leaders, product stakeholders, UX designers, and fellow engineers in a dynamic Agile ...

... data through intuitive and scalable applications. The Full Stack Java Developer will work closely with technology leaders, product stakeholders, UX designers, and fellow engineers in a dynamic Agile ...

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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 19, 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 Application Developer

Full Stack Application Developer

Arista Networks

Cary, NC

Full-time

Re-posted 22 days ago


Job description

Company Description

Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges.

At Arista we value the diversity of thought and perspectives that each employee brings to the table. We  believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do.

Job Description

We are seeking an experienced Full Stack Application Developer to join our team. In this role, you will be a key contributor to a major architectural overhaul of our internal business intelligence environment. You will take ownership of backend services and frontend interfaces that directly influence the productivity and data visibility of our global support organization, helping us move toward a modern, high-performance tech stack.

Who You’ll Work With

You will join the Business Intelligence (BI) and Tools team—a collaborative group of engineers and analysts dedicated to building the engine that powers Arista’s world-class support. We act as an internal innovation hub, creating the real-time tools and data visualizations that allow our support organization to scale at a pace that matches Arista’s rapid growth. You will have a seat at the table in architectural discussions and the opportunity to own features from concept to production.

What You’ll Do

  • Core Backend Engineering: Design and maintain robust APIs utilizing Python-based backend web-development frameworks, ensuring high performance, logical problem-solving, and reliable data delivery.
  • Full-Stack Delivery: Take ownership of developing user-facing features within React and Next.js frameworks, ensuring a secure and high-performance user experience through strong JavaScript fundamentals.
  • Security & Compliance: Collaborating with the security team to assist with security audits, and ensure application adherence to security policies.
  • Test Driven Development & Quality Assurance: Implement Test Driven Development (TDD) practices and participate in rigorous code reviews to catch defects early and ensure high software quality.
  • System Migration & Data Architecture: Play a key role in transitioning platform data sources to a new centralized database architecture, rewriting backend logic to optimize data flow.
  • DevOps & Infrastructure: Manage database architecture, code deployment, and cloud infrastructure. Utilize Docker and GitLab CI/CD to manage your code through the entire development lifecycle within a Google Cloud (GCP) environment.
  • Tooling Optimization: Refine and improve internal TAC workflow tools to meet the requirements of a scaling organization.
  • Stakeholder Collaboration: Proactively communicate with stakeholders to ensure mutual understanding of needs and scope of work.
Qualifications
  • Experience: 3-7 years of professional experience in full-stack web application development
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Backend Expertise: Strong proficiency in Python-based backend web development, core software development problem-solving, and generalized API development.
  • UI/UX Development: Deep understanding of JavaScript core principles and practical experience implementing interfaces with React, favoring familiarity with Next.js architectures.
  • Data Expertise: Strong proficiency in relational database technologies, including schema design, performance tuning, and optimizing complex queries for large-scale data pipelines.
  • DevOps & Infrastructure: Practical experience with deployment, containerization, and cloud infrastructure (GCP preferred).
  • AI/LLM Experience: Experience with agentic AI development and/or Large Language Models (LLMs) is preferred.
  • Product Mindset: The ability to translate user needs into clean, functional, and efficient code with high standards for documentation.

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Additional Information

Arista Networks is an equal opportunity employer.  Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law.  All your information will be kept confidential according to EEO guidelines.