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Data Processing Assistant Jobs in Georgia (NOW HIRING)

Curant Health

Data Engineer II

Smyrna, GA

$114K - $137K/yr

Develop and enhance data processing frameworks using SQL, C#, SSIS, and Azure technologies ... * Assist with the creation and management of SharePoint sites, permissions, integrations, and ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$114K - $137K/yr

Develop and enhance data processing frameworks using SQL, C#, SSIS, and Azure technologies ... * Assist with the creation and management of SharePoint sites, permissions, integrations, and ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$100 - $125/hr

Develop and enhance data processing frameworks using SQL, C#, SSIS, and Azure technologies ... * Assist with the creation and management of SharePoint sites, permissions, integrations, and ...

eCom Solutions Inc

Data Quality Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... processes. Responsibilities : • Engage with product owners and development leads to create ... • Assist in developing and maintaining data governance policies and standards. • Design ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA · On-site

$55/hr

... Assist AI and Agent Desktop aligned initiatives. * This role focuses on prompt engineering model ... Strong proficiency in Python for AI workflows services and data processing. * Solid understanding ...

Global Roles

Data Management Coordinator II

Douglasville, GA · On-site

$60 - $80/hr

... * Assist in coordinating the workflow of the area, including daily production operations and ... Minimum 3 years of related typing/data processing experience or equivalent combination of education ...

New

Digiflight

Data Scientist

Augusta, GA · On-site

$125 - $150/hr

Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and ... assist others in withdrawing appropriate conclusions from the analysis of such data. Effectively ...

DigiFlight, Inc.

Data Scientist

Augusta, GA · On-site

$100 - $125/hr

Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and ... assist others in withdrawing appropriate conclusions from the analysis of such data. Effectively ...

Guidehouse

Data Engineer

Atlanta, GA · On-site

$53K - $88K/yr

Support cloud-based data environments and services in AWS and Azure. * Assist with the implementation of CI/CD processes and software development best practices using Git and related tools. * Monitor ...

Sequoia Connect

Junior Data Engineer

Atlanta, GA · On-site +1

The Challenge (Responsibilities) * Assist in building and maintaining ETL pipelines using Python ... Support the ingestion and processing of data from APIs and JSON payloads. * Collaborate with ...

SpendHQ

Solutions Data Analyst

Atlanta, GA · On-site

The team exists to accelerate and enhance the sales process by adding credibility, objectivity, and ... * Assist with technical discovery analysis and POC scoping * Prepare internal summaries of data ...

Reply

Data Engineer

Atlanta, GA

$110K - $132K/yr

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

Reply

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Georgia

Data Processing Assistant information

See Georgia salary details

$10

$17

$29

How much do data processing assistant jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data processing assistant in Georgia is $17.11, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $18.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

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

The most popular types of Data Processing jobs in Georgia are:

What are popular job titles related to Data Processing Assistant jobs in Georgia?

For Data Processing Assistant jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Processing Assistant jobs in Georgia look for?

The top searched job categories for Data Processing Assistant jobs in Georgia are:

What cities in Georgia are hiring for Data Processing Assistant jobs?

Cities in Georgia with the most Data Processing Assistant job openings:

Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Georgia 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 $35,593 per year, or $17.1 per hour.

Data Engineer II

Curant Health

Smyrna, GA

$114K - $137K/yr

Full-time

Posted 26 days ago

Job description

Position Summary

Curant Health is seeking a Data Engineer II to design, develop, and support scalable data solutions across the organization. This role will focus on building and optimizing ETL/ELT pipelines, data integrations, and data processing frameworks that support Curant Health’s operational, clinical, and business intelligence needs.

The ideal candidate has strong experience with SQL, C#, SSIS, Azure data technologies, and modern data engineering practices. This individual will work closely with technical and business partners to translate requirements into secure, reliable, and scalable data solutions.

The Data Engineer II will also leverage Artificial Intelligence (AI), Generative AI, and AI-assisted development tools to improve development efficiency, automate data engineering workflows, and enhance existing data processes.

Duties and Responsibilities

Core duties and responsibilities include the following. Other duties may be assigned based on business needs.

Data Engineering and ETL Development
  • Design, develop, test, and maintain secure, reliable, and scalable ETL/ELT pipelines based on business requirements and user stories.
  • Develop and enhance data processing frameworks using SQL, C#, SSIS, and Azure technologies.
  • Design and maintain integrations between internal systems, external data sources, applications, and reporting environments.
  • Write and optimize complex SQL queries, stored procedures, and data transformation logic.
  • Design and support relational databases, data warehouses, and dimensional data models.
  • Monitor data pipelines and troubleshoot processing failures, data discrepancies, and performance issues.
  • Implement appropriate data validation and quality controls throughout data pipelines.
Azure and Cloud Data Solutions
  • Design, implement, and support data solutions using technologies such as Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics, and Azure Functions.
  • Develop and maintain scalable cloud-based data pipelines and processing environments.
  • Utilize Azure Key Vault and other security tools to support secure data access and credential management.
  • Support Snowflake, Spark, and other modern data processing technologies as applicable.
  • Identify opportunities to improve infrastructure, scalability, reliability, and data delivery.
AI and Automation
  • Leverage AI, Generative AI, and AI-assisted development tools to accelerate data engineering and development workflows.
  • Apply AI technologies to support the development, automation, testing, documentation, and optimization of ETL/ELT pipelines.
  • Identify opportunities to automate repetitive data engineering and operational processes.
  • Evaluate emerging AI and data technologies for potential application within Curant Health’s data environment.
  • Ensure AI-assisted solutions align with organizational security, privacy, data governance, and quality standards.
Development, Testing, and Deployment
  • Develop, test, debug, and maintain code to ensure solutions meet technical and business requirements.
  • Design and support Azure DevOps CI/CD pipelines for automated deployment and release management.
  • Participate in code reviews, testing, troubleshooting, and production deployment activities.
  • Estimate and plan development work, track progress, and deliver assigned projects within established timelines.
  • Maintain technical documentation for data pipelines, integrations, processes, configurations, and troubleshooting procedures.
Project and Cross-Functional Collaboration
  • Take ownership of assigned projects and drive work from requirements gathering through implementation and ongoing support.
  • Partner with business stakeholders, analysts, developers, and other IT team members to understand requirements and develop appropriate solutions.
  • Translate business requirements into technical specifications and scalable data solutions.
  • Identify and implement internal process improvements related to data delivery, automation, performance, and infrastructure.
  • Communicate project status, technical challenges, risks, and recommended solutions clearly to appropriate stakeholders.
SharePoint Support
  • Support the administration, maintenance, and development of SharePoint and SharePoint Online environments as needed.
  • Assist with the creation and management of SharePoint sites, permissions, integrations, and related solutions.
  • Troubleshoot SharePoint-related issues and coordinate resolutions as appropriate.

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