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

SynergisticIT

Full Stack Developer

Raleigh, NC · On-site

$95K - $150K/yr

Junior Full Stack Developer We are seeking motivated Junior Full Stack Developers with expertise in ... SynergisticIT at Gartner Data and Analytics Summit - Highlights key trends in BI, governance, and ...

HCL Global Systems

Full Stack Engineer

Raleigh, NC · On-site

The Role We are seeking a highly skilled Full Stack Developer to help design and build a state of the art data analytics platform within the financial services domain. In this role, you will work ...

Samprasoft

Full Stack Software Developer III

Durham, NC · Hybrid

Full Stack Engineer Duration: Long Term Contract Location: Durham, NC or Merrimack, NH or Covington ... The team is comprised of both Data Engineers and Full Stack engineers. This role is a Full Software ...

Compunnel

Full Stack Engineer

Durham, NC · On-site

Job Summary We are seeking a Senior Full Stack Engineer to design, develop, and deliver modern ... Strong understanding of software engineering principles, data structures, and algorithms.

Compunnel

Full Stack Engineer

Durham, NC · On-site

Job Summary We are seeking a Senior Full Stack Engineer to design, develop, and deliver modern ... Strong understanding of software engineering principles, data structures, and algorithms.

Samprasoft

Full stack developer

Durham, NC · On-site

Full Stack Engineer Duration: Long Term Contract Location: Durham, NC As a Full Stack Developer ... Ability to provide automation solutions to support all possible data scenarios

Kaleidoscope Innovation

Full Stack Engineer

Raleigh, NC · On-site

Full Stack Engineer Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Location: Charlotte, NC OR ...

eTeam

Full Stack Developer

Raleigh, NC · On-site

Full Stack Developer (Java AWS) Descriptions JD Must Have Technical/Functional Skills • Proven ... Data base- SQl, NoSQL and ORM frameworks • Cloud - AWS, Azure, GCP • Experience in design and ...

DataAnnotation

Full Stack Engineer

Raleigh, NC · Remote

$40/hr

Overview Join to apply for the Full Stack Engineer role at DataAnnotation . We are looking for a ... data structures, and debugging workflows A current, in progress, or completed Bachelor's degree is ...

Artech

Full Stack Developer

Raleigh, NC · On-site

$45 - $48/hr

Full Stack Developer Location : Raleigh, NC LOCAL to ONLY! Duration : 6 months + possible extension ... Data base- SQl, NoSQL and ORM frameworks • Cloud - AWS, Azure, GCP • Experience in design and ...

Varite

Full Stack Developer

Raleigh, NC · On-site

$46.42 - $47.05/hr

Full Stack Developer Develop and Deploy the application as per customer Requirements Must Have ... Data base- SQl, NoSQL and ORM frameworks • Cloud - AWS, Azure, GCP • Experience in design and ...

Diverse Lynx

Full Stack Developer

Raleigh, NC · On-site

Full Stack Developer JD Must Have Technical/Functional Skills • Proven experience in Full stack ... Data base- SQl, NoSQL and ORM frameworks • Cloud - AWS, Azure, GCP • Experience in design 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 ...

Diverse Lynx

Full stack Developer

Raleigh, NC · On-site

Full stack Developer Raleigh, NC LOCAL TO Raleigh, NC ONLY! • Proven experience in Full stack ... Data base- SQl, NoSQL and ORM frameworks • Cloud - AWS, Azure, GCP • Experience in design and ...

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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 May 28, 2026, the average yearly pay for full stack data engineer in Raleigh, NC is $131,000.00, 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 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.

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 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 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
Infographic showing various Full Stack Data Engineer job openings in Raleigh, NC as of May 2026, with employment types broken down into 77% Full Time, 11% Part Time, 2% Temporary, and 10% Contract. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $131,000 per year, or $63 per hour.
Lead Full Stack Engineer -AI Data Engineer

Lead Full Stack Engineer -AI Data Engineer

Info Way Solutions

Cary, NC • Hybrid

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Lead Full Stack Engineer -AI Data Engineer
Location - Cary NC (Hybrid)
Key Responsibilities:
• Hands on development and setup of data pipelines, databases, and data sources to build Client and AI apps.
• Develop architecture and solution designs to deliver capabilities and features.
• Develop iterative plans and strategies. Estimate as part of release plan and iteration planning
• Mentor, motivate, influence, drive innovation, and coach broader technical team. Provide technical and solution guidance to the team. Conduct design and code reviews for the team delivery.
• Oversight of junior developer and vendor development work
• Key participant in user story breakdowns, user story elaboration, and user story reviews
• Help drive broader understanding of AI tools and technologies
• Serve as an escalation point for deployments, and change oversight, enabling highly visible business priorities.
• Responsible for developing and maintaining SRE runbooks, and being available to diagnose and resolve production issues.
Required Experience
• 8+ years hands on development of realtime and batch data pipelines.
• Data pipeline development using ETL tools to collect, process and transform raw data
• Database setup on Azure or AWS for structured and unstructured data- PostgreSQL, MongoDB, CosmosDB, etc.
• Use of tools to store, process, and retrieve data - Hadoop, Spark, Kafka, API's, data lakes
• Expertise in programming languages and libraries - Python, Scala, PyTorch, NumPy, Pandas
• 5+ years hands on DevOps skills. Prefer Azure DevOps otherwise similar alternate technologies is a must.
• Hands on experimentation with prompt engineering, semantic search and GenAI
• Advanced knowledge of the principles in software engineering.
• 10+ years related work experience successfully delivered on large, complex projects with demonstrated technical leadership in delivery.
Preferred Experience
• BS/MS in Comp Science/IS.
• Development of Semantic search using vector databases or similar solutions
• Experience in structuring and creating training datasets for GenAI
• Experience working in cross-functional, multi-location teams.
Experience in SAFe, Agile methodology, tools, and Agile integration with Waterfall.

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