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

SysMind Tech

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal ...

Galent

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... 3. Build full stack data applications and backend services 4. Develop Snowflake-based data ... engineering frameworks 8. Build and maintain CI/CD pipelines using GitHub 9. Create reporting and ...

MM International

Full Stack Java Developer

Charlotte, NC · On-site

$51.25 - $66.25/hr

Full Stack Java Developer Location: Charlotte, NC | Hybrid (3x/week in-office: Tuesdays/Wednesdays ... Experience with data extraction, aggregation, and modernization using Big Data platforms (Iceberg ...

Amicis Global

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Full-stack Python/PySpark developer * Proven experience as a Data Engineer with experience in Azure cloud. * Experience implementing solutions using - * Azure cloud services * Azure Data Factory

Redolent, Inc.

Java Full stack Engineer

Charlotte, NC · On-site

$51.25 - $66.25/hr

Experience with JAVA, Spring Boot, React, Redux, HTML5, CSS3, Jest/Cypress, Hibernate/Spring Data ... Full stack application development is needed. * 3+ years of real time low latency, front-end Web ...

Select Minds LLC

Full Stack Java Developer

Charlotte, NC · On-site

$60 - $65/hr

Full Stack Java Developer Experience : 10+ years Location: Charlotte, NC Work Mode: Onsite (Monday ... Design and implement efficient data models using relational (e.g., MySQL) and NoSQL (e.g., MongoDB ...

Apex Systems

Full Stack Developer

Charlotte, NC · On-site

Job#: 3044636 Full Stack Developer Location: Charlotte, North Carolina (Hybrid) Role Overview We ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Brooksource

Full Stack Engineer

Charlotte, NC · On-site

$55 - $65/hr

Senior Full Stack Developer Charlotte, NC Hybrid Role (3 days onsite) Compensation: $65 per hour 12 ... data, applicable bargaining agreement (if any), or other law.

ClinDCast LLC

Full Stack MERN Developer

Charlotte, NC · On-site

Job Summary We are seeking an experienced Full Stack MERN Developer to design, develop, and support ... Create real-time dashboards and data visualization solutions using ChartJS, D3.js, HighCharts ...

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Showing results 1-20

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

Full Stack Data Engineer information

See Charlotte, NC salary details

$43.5K

$131.6K

$186.1K

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

As of Aug 13, 2026, the average yearly pay for full stack data engineer in Charlotte, NC is $131,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $154,300.00 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 Charlotte, NC?

For Full Stack Data Engineer jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Charlotte, NC look for?

The top searched job categories for Full Stack Data Engineer jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Full Stack Data Engineer jobs?

Cities near Charlotte, 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 Charlotte, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,633 per year, or $63.3 per hour.

Data Engineer

SysMind Tech

Charlotte, NC • On-site

$111K - $134K/yr

Contractor

Re-posted 12 days ago

Job description

We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal candidate is highly self-motivated, resourceful, and capable of building scalable data pipelines, frameworks, and full stack data applications leveraging Snowflake, Python, SQL, and modern DevOps practices.
Key responsibilities:
  • Develop and maintain scalable ELT pipelines and data workflows
  • Design and implement data models and warehouse structures
  • Build full stack data applications and backend services
  • Develop Snowflake-based data solutions within cloud environments
  • Write high-quality Python and SQL code
  • Implement automated testing frameworks
  • Develop reusable data engineering frameworks
  • Build and maintain CI/CD pipelines using GitHub
  • Create reporting and visualization solutions (e.g., Power BI)
  • Monitor and resolve production issues ensuring data reliability
  • Experience with automated testing and framework development

Key competencies:
  • Dagster orchestration
  • dbt transformations
  • Gurobi optimization solver
  • Elementary data validation
  • Retool development
  • GoAnywhere MFT
  • Power BI and DAX
  • Azure services (ADF, Synapse, Key Vault)
  • Snowflake ML/AI or R
  • SQL Server, SSIS, SSRS
  • Financial services domain experience
  • Agile methodologies
  • Highly self-motivated with strong ownership
  • Extreme personal initiative
  • Ability to work independently and in teams
  • Highly resourceful problem solver
  • Strong communication and analytical skills
  • Ability to manage priorities in fast-paced environments

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