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

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 ...

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.

Senior Full Stack Engineer Opportunity As a Senior Full Stack Engineer, you'll drive digital ... NoSQL databases and distributed data systems * Familiarity with Digital Banking and financial ...

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 ...

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 ...

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 ...

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 ...

Job Summary We are seeking an experienced Senior Full Stack Engineer to join a high-performing team focused on building scalable, user-centric applications. This role involves hands-on development ...

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Showing results 1-20

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 Jun 17, 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 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 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 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 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:
Lead Full Stack Engineer -AI Data Engineer

Lead Full Stack Engineer -AI Data Engineer

Info Way Solutions

Cary, NC • Hybrid

Other

Posted yesterday


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.