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Archival Processing Jobs in Georgia (NOW HIRING)

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Manage data lifecycle policies and archiving processes. Data Transformation and Processing: * Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions. * Implement data ...

Kubota

NALI Office Support

Gainesville, GA · On-site

$15.75 - $20.50/hr

Uploading documents related to development in the document archival system * Supporting purchasing ... Ability to follow detailed process instructions or create as needed. * Ability to work on, schedule ...

Kubota

NALI Office Support

Gainesville, GA

$15.75 - $20.50/hr

Uploading documents related to development in the document archival system * Supporting purchasing ... Ability to follow detailed process instructions or create as needed. * Ability to work on, schedule ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Manage data lifecycle policies and archiving processes. Data Transformation and Processing: * Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions. * Implement data ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Manage data lifecycle policies and archiving processes. Data Transformation and Processing: * Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions. * Implement data ...

Company3

Color Assistant

Atlanta, GA · On-site

$25 - $30/hr

Maintain backups and archives, documenting completion notes and delivery records. Media & Asset ... Solid grasp of editorial workflows and conform processes. Preferred Experience Bonus points if you ...

Company 3 / Method Inc.

Color Assistant

Atlanta, GA · On-site

$25 - $30/hr

Maintain backups and archives, documenting completion notes and delivery records. Media & Asset ... Solid grasp of editorial workflows and conform processes. Preferred Experience Bonus points if you ...

Teachers Retirement System of Georgia

Be Seen First

Document Scanner / Records Technician

Atlanta, GA · On-site

$34K - $37K/yr

This position supports the agency's records management operations by preparing, scanning, indexing, and archiving documents, as well as assisting with mail processing and basic office support. Work ...

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All JobsArchival Processing JobsArchival Processing Jobs in Georgia

Archival Processing information

See Georgia salary details

$12

$29

$44

How much do archival processing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for archival processing in Georgia is $29.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $39.38 per hour, depending on experience, location, and employer.

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

To thrive in Archival Processing, you need a background in library science, archival studies, or history, with knowledge of archival principles and metadata standards. Familiarity with archival management systems, digital preservation tools, and descriptive standards like DACS or EAD is typically required. Attention to detail, strong organizational skills, and effective written communication help you accurately arrange, describe, and make archival collections accessible. These competencies ensure the preservation, discoverability, and integrity of valuable historical records for research and reference.

What are some common challenges faced in archival processing roles, and how can they be addressed?

One of the most common challenges in archival processing is dealing with incomplete, unorganized, or deteriorating collections. Archivists must often make judgment calls about how to arrange and describe materials to maximize their accessibility while preserving their integrity. Time constraints and limited resources can also add pressure, making prioritization and efficient workflow management essential. Collaborating closely with colleagues, such as reference archivists and digital specialists, can help address these issues and ensure collections are processed effectively and made accessible to researchers.

What is archival processing?

Archival processing is the methodical arrangement, description, and preservation of archival materials to make them accessible and understandable for researchers and the public. This process involves sorting records, removing duplicates, rehousing materials in appropriate containers, and creating detailed finding aids or inventories. The goal is to protect the integrity of the records while ensuring they can be easily located and used in the future. Archival processing is a crucial function within libraries, museums, and other institutions that manage historical collections.

What is the difference between Archival Processing vs Archivist?

AspectArchival ProcessingArchivist
CredentialsTypically requires a degree in library science, archives, or related fieldOften requires a master's degree in library science, archives, or history
Work EnvironmentInvolves organizing, cataloging, and preserving collections in archives or repositoriesIncludes managing collections, providing access, and overseeing archival materials in various institutions
Industry UsagePrimarily used within archives, museums, and special collectionsCommonly used in libraries, museums, and archival institutions

While both roles involve working with archival materials, Archival Processing focuses on organizing and preserving collections, whereas an Archivist manages access, provides reference services, and oversees the overall archival program.

What are popular job titles related to Archival Processing jobs in Georgia? For Archival Processing jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Archival Processing jobs in Georgia look for? The top searched job categories for Archival Processing jobs in Georgia are:
What cities in Georgia are hiring for Archival Processing jobs? Cities in Georgia with the most Archival Processing job openings:
Archival Processing jobs near you
Infographic showing various Archival Processing job openings in Georgia as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $61,792 per year, or $29.7 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision

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

Job description

Who We Are: 

We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.


What We Are Looking For: 

We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.


Responsibilities:

Data Pipeline Development and Management:

  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:

  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:

  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:

  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:

  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:

  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.


Qualifications:

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field; Master’s degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.


Preferred Skills:

  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).


What We Offer:

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.


Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!


This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.


We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.

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