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Data Engineer Jobs in North Carolina (NOW HIRING)

1 point system

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

* The Cloud Data Storage / Data Engineer SME & Data Structure Designer will support the design, implementation, and optimization of secure, scalable, and high-performance cloud-based data platforms for ...

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Position Summary The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos' modern data platform. This role focuses on building ...

Guidehouse

Data Engineer

Charlotte, NC

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early ...

INFOSYS NOVA HOLDINGS LLC

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC (Hybrid) Schedule: Full-Time | Hybrid (3 days onsite) Interview Process: In-Person Interview Required About the Role We are seeking a Data Engineer to join a ...

Kanak Elite Services Inc

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Data Engineer Location : Raleigh, NC Onsite (Must be local) Duration : 12+ Months Description We have some urgent requirements with at least 5 years' experience as Data Engineer for the development ...

Well

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Data Engineer Reporting To: Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN; Boston, MA (Newton); New York, NY; Remote in approved locations Salary: This role can be hired for at ...

Inficare Technologies

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Duration: Long term Skills - Python, Pyspark, GCP, ETL-Big Data/Data Warehouse, Data Analytics, SQL, Git * BS or MS degree in computer science, computer ...

Sarian, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Fulltime * 7+ years' experience as Data Engineer having experience working with Bigdata Hadoop and data warehousing projects. * Tech stacks includes PySpark ...

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Redolent, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are currently seeking a Big Data Engineer for an onsite position located in Charlotte, NC, Denver, CO, Jacksonville, FL and Chicago, IL. This is a 12+ month W2 contract opportunity. Summary: Join ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants

Data Engineer

Cary, NC

$107K - $128K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Booz Allen Hamilton

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

R0236980 Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Booz Allen Hamilton

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

OmegaHires

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Required Skills5+ years of experience in Data Engineering.Strong hands-on experience with AWS Glue, Python, SQL, Snowflake, and dbt.Strong understanding of ETL/ELT architecture and data ...

PiTech Solutions Inc

Data Engineer

Durham, NC

$110K - $132K/yr

Data Engineer - Oracle Fusion & Data Platform Integration Location: Durham, NC (Hybrid) About the Role We are seeking a Data Engineer to join our growing data team to help design, build, and extend ...

New

Amicis Global

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Title: Data Engineer Duration: 12+ months Location: Charlotte, NC 28202 Role Objectives * These roles will be part of the Data Strategy team spanning across the *** Capital Markets and Nikko ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in North Carolina

Data Engineer information

See North Carolina salary details

$40.4K

$117.9K

$161.3K

How much do data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer in North Carolina is $117,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in North Carolina?

The most popular types of Data Engineer jobs in North Carolina are:

What are popular job titles related to Data Engineer jobs in North Carolina?

For Data Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in North Carolina look for?

The top searched job categories for Data Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Data Engineer jobs?

Cities in North Carolina with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in NC?

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in North Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,886 per year, or $56.7 per hour.

Data Engineer

1 point system

Charlotte, NC • On-site

$111K - $134K/yr

Contractor

Re-posted 12 days ago

Job description

Job Description:

  • The Cloud Data Storage / Data Engineer SME & Data Structure Designer will support the design, implementation, and optimization of secure, scalable, and high-performance cloud-based data platforms for a Cyber Threat Operations Center (CTOC).
  • This role combines hands-on engineering with subject matter specialization in cloud data storage, data modeling, and data structure design, enabling effective cyber threat detection, analytics, reporting, and operational decision-making.
  • While classified as a junior level role, this position requires strong specialized expertise in cloud data platforms and an ability to contribute meaningfully to architecture discussions under the guidance of senior engineers and architects.
  • Cloud Data Storage and Data Engineering Subject Matter Expert with experience designing secure, scalable, high-performance cloud data platforms.
  • Expert in data lakes, data warehouses, hybrid architectures, data modeling, schema design, and governance.
  • Provides strategic guidance to optimize data structures for analytics, reporting, and application performance.
  • Highly adaptable across Google Cloud Platform (GCP), Microsoft Azure, and AWS environments.

Nice to have:

  • SQL Server
  • PowerPoint
  • Application Management
  • solid communication skills

Must Haves:

  • 4 years + Cloud Data Storage and Data Engineering across Google Cloud Platform (GCP), Microsoft Azure, and AWS environments. Solid communication skills