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Data Processing Assistant Jobs in Georgia (NOW HIRING)

Sequoia Connect

Junior Data Engineer

Atlanta, GA · Remote

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 ...

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 ...

CRH

Junior Data Engineer

Atlanta, GA · On-site

Change & Release Support • Support structured change management and deployment processes for data solutions. • Assist with release validation and deployment across development and test ...

CRH

Junior Data Engineer

Atlanta, GA · On-site

Change & Release Support • Support structured change management and deployment processes for data solutions. • Assist with release validation and deployment across development and test ...

Primerica, Inc.

Sr Data Engineer

Duluth, GA · On-site

$130K - $135K/yr

Participate in Agile processes including Scrum * Use AI tools such as GitHub Copilot to assist in ... Hands-on data engineering experience with Databricks, preferably within the AWS ecosystem

Booz Allen Hamilton

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Experience with FHIR-based data and large-scale data processing * Experience with R, Scala, or Java ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Guidehouse

Public Health Data Engineer

Atlanta, GA

$110K - $132K/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 ...

Guidehouse

Public Health Data Engineer

Atlanta, GA

$70K - $116K/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

Data Infrastructure Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Optimize data processing, storage, and query performance across AWS platforms. * Lead ... Familiarity with cloud-native foundations or AI coding assistants. Languages * Advanced Oral ...

ProArch

Data Analyst/PowerBI Engineer

Atlanta, GA

Ensure data accuracy and integrity by implementing quality control processes * Assist in presenting findings and recommendations to stakeholders through effective storytelling * Stay current with ...

BAE Systems

Data Eng Sr

Augusta, GA · On-site

$88K - $149K/yr

... systems, process automation, and models to support customer intelligence requirements. The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to: * design ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71K - $90K/yr

... accommodations to assist you in the search and application process, please email us at ... Candidate Data Privacy and Technology Rivian may collect, use and disclose your personal ...

ProArch

Data Analyst/PowerBI Engineer

Atlanta, GA · On-site +1

Ensure data accuracy and integrity by implementing quality control processes * Assist in presenting findings and recommendations to stakeholders through effective storytelling * Stay current with ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71K - $90K/yr

... assist you in the search and application process, please email us at Candidate Data Privacy and ... Technology Rivian may collect, use and disclose your personal information or personal data (within ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · Hybrid

$71K - $90K/yr

... accommodations to assist you in the search and application process, please email us at ... Candidate Data Privacy and Technology Rivian may collect, use and disclose your personal ...

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Showing results 21-40

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 Aug 18, 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.

Junior Data Engineer

Sequoia Connect

Atlanta, GA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Junior Data Engineer:

The Challenge (Responsibilities)

  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Requirements
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.

Apply