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Data Processor Jobs in Charleston, SC (NOW HIRING)

Anatta Design

Data Engineer (Contract)

Charleston, SC · Remote

$117K - $140K/yr

Automate anomaly detection and QA processes * Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions * Troubleshoot data ...

Anatta Design

Data Engineer (Contract)

Charleston, SC · On-site +1

$107K - $128K/yr

Automate anomaly detection and QA processes • Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions • Troubleshoot data ...

AP Laboratories LLC

Be Seen First

Data Entry Clerk

North Charleston, SC · On-site

$17 - $17.50/hr

DATA ENTRY CLERK - FIRST SHIFT: 7am - 3:30pm Receive and sort medical samples by client or specimen ... Must be able to identify samples that are not processed in-house, but are forwarded to a third ...

Munich RE

Principal Data Scientist

Charleston, SC · On-site

Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing. * Experience with Databricks or similar big data ...

B&A

Software/ Data Engineer

North Charleston, SC · Hybrid

$109K - $131K/yr

Perform data engineering tasks , including ETL processes and data transformations. * Participate in the full software development life cycle using Waterfall, Agile, or hybrid methodologies.

Blackbaud

Manager, Data Protection Services

SC · Remote

$117K - $157K/yr

Manager, Data Protection Services Blackbaud looking for a seasoned security leader to own and ... Familiarity with agile development processes * Hands-on experience deploying AI-SPM tooling or ...

CBRE

Data Center Mechanical Manager

Summerville, SC · On-site

We are seeking a Data Center Electrical Manager to lead our specialized technical operations. This ... Conduct process and procedure training on maintenance, repairs, and safety best practices. * Lead ...

CBRE

Data Center Technician

Summerville, SC · On-site

As a CBRE Data Center Technician, you will perform preventative maintenance and corrective repairs ... Follow all safety processes and requirements and ensure all regulatory requirements and quality ...

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All JobsData Processor JobsData Processor Jobs in Charleston, SC

Data Processor information

See Charleston, SC salary details

$11

$18

$32

How much do data processor jobs pay per hour?

As of Aug 19, 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.
More about Data Processor jobs

What are popular job titles related to Data Processor jobs in Charleston, SC?

For Data Processor jobs in Charleston, SC, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Charleston, SC look for?

The top searched job categories for Data Processor jobs in Charleston, SC are:

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

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

Data Processor jobs near you
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 (Contract)

Anatta Design

Charleston, SC • Remote

$117K - $140K/yr

Contractor

Re-posted 24 days ago

Job description

Overview
We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand engagement for a senior-level professional who can design, build, and optimize scalable data infrastructure across analytics, marketing, and operational workflows.
The ideal candidate has deep expertise in BigQuery, dbt, and Looker, with hands-on experience modeling complex eCommerce data from platforms such as Shopify, Klaviyo, subscription systems (e.g., Loop), and 3PL providers
Key Responsibilities
• Design, build, and maintain scalable data pipelines using BigQuery and dbt
• Architect and optimize warehouse-first data models to support analytics, marketing, and operational reporting
• Develop and maintain Looker dashboards and semantic layers
• Integrate and transform data from Shopify, Klaviyo, Loop (subscriptions/returns) and 3PL systems (e.g., ShipHero, ShipBob, etc.)
• Build automated workflows for data ingestion, validation, and monitoring
• Implement best practices for data quality, governance, and documentation
• Leverage AI tools (LLMs, automation frameworks) to:
  1. Accelerate data transformation workflows
  2. Refactor and optimize SQL/dbt models
  3. Automate anomaly detection and QA processes
• Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions
• Troubleshoot data discrepancies and provide root-cause analysis
• Recommend architectural improvements to improve performance, reliability, and scalability
Service Level Agreements (SLAs)
  • Response Time: Acknowledge requests within 24 hours
  • Critical Issues (P0): Immediate response and active resolution
  • Standard Requests: Timeline provided within 72 hours
  • Billing Model: Time & materials based on agreed scope and hours worked
Requirements
• 5+ years experience in data engineering within a modern cloud data stack
• Advanced experience with BigQuery, Dbt, SQL performance optimization
• Experience building and maintaining Looker dashboards and data models
• Strong understanding of:
  1. eCommerce metrics (AOV, LTV, churn, CAC, retention)
  2. Marketing attribution
  3. Subscription data structures
• Experience integrating and modeling data from (not exactly similar software would work) Klaviyo, Loop or similar subscription platforms, Shopify 3PL systems
• Experience implementing data quality checks and validation pipelines
• Strong written and verbal communication skills
• Ability to work independently with minimal oversight
Preferred Qualifications
  • Experience working with distributed or agency environments
  • Experience supporting DTC brands
  • Experience with marketing data pipelines (Google Ads, Meta, TikTok)
  • Experience building reverse ETL workflows
  • Familiarity with data ingestion tools (Fivetran, Daton, Airbyte, etc.)
  • Experience implementing AI-assisted data transformation workflows
  • Exposure to experimentation analytics (A/B testing frameworks)
Ideal Candidate Profile
We are looking for someone who:
  • Understands both technical architecture and business implications
  • Can move quickly in a project-based environment
  • Thinks in systems, not just SQL queries
  • Is comfortable leveraging AI tools to improve speed and efficiency
  • Has experience working across marketing, product, and operations data
The duties and responsibilities described here are not a comprehensive list and the scope of the job may change as necessitated by business demands. Anatta Design reserves the right to revise the job description as circumstances warrant.

Compensation Transparency & Pay Philosophy
At Anatta Design, we believe in fair and competitive compensation based on location. We post salary ranges in compliance with state requirements for U.S.-based roles, ensuring transparency for candidates in those regions. If you are applying from outside the U.S., please note that our pay scales are adjusted based on the cost of living and market conditions in each country.

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