1

Data Processor Jobs in Charleston, SC (NOW HIRING)

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Develop Python-based ingestion and transformation processes. * Support orchestration and storage within a cloud environment using modern data engineering best practices. Data Quality, Governance ...

Data Engineer

Charleston, SC · On-site

$160K/yr

Develop Python-based ingestion and transformation processes. * Support orchestration and storage within a cloud environment using modern data engineering best practices. Data Quality, Governance ...

... processes and functions. Established relationships with multiple areas of interaction. Required ... Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.

... processes and functions. Established relationships with multiple areas of interaction. Required ... Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.

Senior Data Architect

Charleston, SC · On-site

$63 - $84.25/hr

Lead the future integration of PM2PA business processes and workflows with Oracle Fusion Cloud. This includes architecting solutions for data exchange between EBS and Oracle Cloud Infrastructure (OCI ...

Senior Data Architect

Charleston, SC · On-site

$64.25 - $85.75/hr

Lead the future integration of PM2PA business processes and workflows with Oracle Fusion Cloud. This includes architecting solutions for data exchange between EBS and Oracle Cloud Infrastructure (OCI ...

Our Insurance Software and Business Process Solutions (ISB) organization partners with insurers ... Position Summary The Data Engineering Lead is responsible for the design, development, governance ...

Our Insurance Software and Business Process Solutions (ISB) organization partners with insurers ... Position Summary The Data Engineering Lead is responsible for the design, development, governance ...

Senior Data Scientist

Hanahan, SC · On-site

$101.32 - $161.60/hr

Design and maintain data pipelines, analytical processes, and data workflows * Create dashboards, reports, visualizations, and briefings that effectively communicate analytical findings * Identify ...

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Design and maintain data pipelines, analytical processes, and data workflows * Create dashboards, reports, visualizations, and briefings that effectively communicate analytical findings * Identify ...

Design and maintain data pipelines, analytical processes, and data workflows * Create dashboards, reports, visualizations, and briefings that effectively communicate analytical findings * Identify ...

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Design and maintain data pipelines, analytical processes, and data workflows * Create dashboards, reports, visualizations, and briefings that effectively communicate analytical findings * Identify ...

Senior Data Architect

Charleston, SC · On-site

$63 - $84.25/hr

... processes and workflows with Oracle Fusion Cloud. • Oversee the performance optimization, scalability and reliability of the PM2PA data flows. • Ensure robust data security measures and ...

Showing results 21-40

Data Processor information

See Charleston, SC salary details

$11

$18

$32

How much do data processor jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data processor in Charleston, SC is $18.97, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.91 per hour, depending on experience, location, and employer.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

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

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.

What cities near Charleston, SC are hiring for Data Processor jobs?

Cities near Charleston, SC with the most Data Processor job openings:

Infographic showing various Data Processor job openings in Charleston, SC as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $39,448 per year, or $19 per hour.

Data Engineer

KORE1 Technologies

Charleston, SC • On-site, Remote

$107K - $128K/yr

Contractor

Medical, Retirement

Re-posted 19 days ago


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Engineer that is based in Charleston, SC. Remote /hybrid flexibility. 

Position Overview
We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business intelligence capabilities. This is a foundational role within a firm actively modernizing its data architecture by replacing fragmented automations with scalable, production-grade pipelines and establishing a centralized, reliable source of truth across multiple systems.
The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling, data quality, and governance. This role requires deep technical expertise along with the ability to navigate a complex, multi-system financial data environment.
This position will play a central role in supporting the organization's evolving AI and analytics initiatives. The ideal candidate will help structure, govern, and optimize warehouse data to support future AI-enabled workflows and advanced reporting capabilities.
The Data Engineer will work closely with cross-functional teams including Operations, IT, business stakeholders, and external technology partners to ensure the data platform evolves in alignment with operational and strategic needs.
Key Responsibilities

Architecture & Infrastructure
* Evaluate and recommend scalable data architecture solutions, including warehouse and lakehouse strategies.
* Build and maintain a centralized cloud data warehouse environment.
* Design and maintain scalable ingestion pipelines across multiple operational and financial systems.
* Develop data structures and governance models that support analytics, reporting, and future AI-driven workflows.
* Ensure the data platform is designed with long-term scalability, security, and accessibility in mind.
Data Modeling & Transformation
* Design and implement canonical data models across financial and operational datasets.
* Write and optimize complex SQL queries, transformations, and performance-tuned data workflows.
* Replace manual or lightweight automations with production-grade ETL/ELT pipelines using Python and cloud-native tooling.
Integrations & APIs
* Build and maintain REST API integrations across third-party platforms and internal systems.
* Develop Python-based ingestion and transformation processes.
* Support orchestration and storage within a cloud environment using modern data engineering best practices.
Data Quality, Governance & Security
* Implement validation frameworks, deduplication logic, monitoring, and exception handling processes.
* Configure role-based access controls and maintain auditability across the data environment.
* Document and maintain end-to-end data lineage and governance standards.
* Support compliance and security requirements for sensitive financial and operational data.
Reporting & Documentation
* Deliver reporting-ready datasets supporting portfolio analytics, operational reporting, and business intelligence initiatives.
* Support BI tool integrations and semantic layer development for technical and non-technical users.
* Create and maintain documentation for architecture decisions, pipelines, and data dictionaries.
Cross-Functional Collaboration
* Partner closely with Operations, IT, and leadership teams to align data infrastructure with business goals.
* Participate in ongoing technology and systems planning initiatives.
* Act as a key liaison between technical and business stakeholders to ensure data solutions meet organizational needs.
Technical Requirements
* Advanced Python development for data engineering and automation
* Advanced SQL skills including performance optimization and complex transformations
* Strong experience with Snowflake or similar cloud data warehouse platforms
* Experience designing scalable data models and ETL/ELT pipelines
* REST API integration experience including authentication, pagination, and error handling
* Cloud platform experience, preferably AWS
* Strong understanding of data quality, governance, and access controls
* Ability to work cross-functionally in fast-paced environments
Preferred Skills
* Experience supporting AI or LLM-enabled workflows
* Financial services, private equity, asset management, or investment operations experience
* Familiarity with CRM, fund administration, or portfolio management platforms
* Experience with BI tools such as Tableau, Looker, or Sigma
Required Qualifications
* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field
* 5+ years of experience in data engineering
* Strong production experience with Python and SQL
* Experience building scalable cloud-based data platforms
* Strong documentation and communication skills
Preferred
* Experience working with financial datasets and investment operations
* Exposure to AI-driven analytics or agent-based workflows
* Experience implementing enterprise reporting and business intelligence solutions

Core Competencies
* Ownership and accountability
* Strong analytical and systems thinking
* Cross-functional collaboration
* Clear communication with technical and non-technical stakeholders
* Adaptability in fast-paced environments
* High standards for governance, accuracy, and compliance
Location & Work Environment
This position is preferably based in the Southeast United States, though remote candidates may be considered for the right fit.
Compensation & Benefits
* Competitive compensation package
* Performance-based incentives
* Comprehensive health and retirement benefits
* High visibility with leadership and strategic initiatives
* Opportunity to help build foundational infrastructure within a growing organization



Compensation depends on experience but is typically 145-160k

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR