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Data Processing Jobs in North Carolina (NOW HIRING)

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 ... Experience of building event processing pipelines with Kafka or GCP PubSub. * Design and ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures. * Partner with business stakeholders, analysts, and technology teams to ...

SAIC

Data Scientist

Fayetteville, NC

Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets). * Research analysis products ...

Summitworks

Big Data Solution Engineer

Durham, NC

Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem. Implement and configure tools for Hadoop based data lake ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures. * Partner with business stakeholders, analysts, and technology teams to ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures. * Partner with business stakeholders, analysts, and technology teams to ...

CYNET SYSTEMS

GCP Data Engieer

Charlotte, NC · On-site

$50/hr

This role is ideal for someone eager to build scalable data pipelines and grow in distributed data processing and cloud technologies. Required Skill: * Good understanding of Python programming.

Summitworks

Big Data Solution Engineer

Durham, NC · On-site

$53.75 - $71.25/hr

Company Description Responsibilities • Architect and develop Big Data applications for fortune 100 companies around the globe. • Design and build data processing pipelines for structured and ...

Kentro

Senior Data Engineer (USASOC-CDAO)

Fayetteville, NC · On-site

$97K - $132K/yr

Develop ETL/ELT processes to ingest, transform, validate, and deliver data from diverse sources. * Integrate structured and unstructured data from enterprise, operational, cloud, and mission systems.

Judge Group, Inc.

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... Interview Process: Typically one 45-minute virtual interview (sometimes 30 minutes). A second round ...

SAIC

Data Scientist

Fayetteville, NC · On-site

Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets). * Research analysis products ...

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All JobsData Processing JobsData Processing Jobs in North Carolina

Data Processing information

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How much do data processing jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data processing in North Carolina is $18.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $20.34 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

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

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

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

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

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

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

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

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

Data Processing jobs near you
Infographic showing various Data Processing job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $38,309 per year, or $18.4 per hour.

Data Engineer

Inficare Technologies

Charlotte, NC • On-site

$111K - $134K/yr

Full-time

Re-posted 22 days ago

Job description

Role : Data Engineer
Location: Charlotte, NC
Duration: Long term
Skills - Python, Pyspark, GCP, ETL-Big Data/Data Warehouse, Data Analytics, SQL, Git
Job Description
  • BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.
  • 5+ years of hands-on software development experience with Big Data & Analytics solutions
  • GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,
  • Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
  • Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
  • Experience of building event processing pipelines with Kafka or GCP PubSub.
  • Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
  • Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
  • Strong Object-Oriented Programming skills and design patterns.
  • Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
  • Good knowledge and experience with configuration management tools like GitHub
  • Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
  • Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
  • Looks proactively beyond the obvious for continuous improvement opportunities.
  • Communicates effectively with product and cross functional team.
  • Willingness to learn new technologies and leverage them to their optimal potential.
  • Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
  • Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
  • Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms
  • Improve engineering practices, including driving resilience, predictability, and end efficiency through automation
  • Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technology

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