ZipRecruiter

Log In

1

Data Storage Jobs in Georgia (NOW HIRING)

AEG

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Optimize data storage formats and partitioning strategies for performance and cost. * Manage integrations with Databricks and other cloud data platform services. * Support both batch and streaming ...

Atlanta Hawks

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Optimize data storage formats and partitioning strategies for performance and cost. * Manage integrations with Databricks and other cloud data platform services. * Support both batch and streaming ...

Aderant

Principal Data Engineer

Atlanta, GA · On-site

Data Storage:S3, DynamoDB, Redshift * Governance& Observability:DataZone, CloudWatch, CloudTrail TechnicalSkills * Expert-level proficiency in Python and SQL(Spark SQL, T-SQL, orsimilar)

Pwc

Data Engineer - Manager

Atlanta, GA · On-site

... storage across batch and real-time data processing - Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools - Developing and deploying scalable data ...

ASCENSUS

Data Program Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

This role owns critical architectural decisions across data storage, integration, access patterns, and tooling, and plays a central role in shaping the data platform roadmap in collaboration with ...

Crew Career Center

Data Scientist

Atlanta, GA

Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus ...

Patientco

Data Scientist

Atlanta, GA

Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus ...

krg technology inc

Storage (L3/L4)

Alpharetta, GA

The storage Administrator will be a team lead whom should be efficient in handling a team ... Experience with data protection and backup recovery solutions familiarity such as using virtual ...

krg technology inc

Storage admin

Alpharetta, GA · On-site

... Storage Hardware from EMC (Symetrix and Clarion), HDS (USP), Network Appliances (NAS Filer ... Experience with data protection and backup recovery solutions familiarity such as using virtual ...

Factspan Inc

Senior Data Engineer

Johns Creek, GA · On-site

$98K - $133K/yr

Design, build, and maintain scalable data pipelines on Google Cloud Platform using services such as BigQuery, Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub, Dataflow, Dataproc, Composer, and ...

United Airlines

GCP Python Data Engineer

Atlanta, GA

$110K - $132K/yr

Data Storage & Processing Design and optimize data lakes and data warehouses using BigQuery and Cloud Storage Develop efficient data models to support analytics, reporting, and machine learning ...

krg technology inc

Backup / storage

Alpharetta, GA

Capacity Planning -Backup data growth planning & procurement. Identify opportunities for improving ... Configuring storage resources and media agents in Commcell Storage (L3/L4) :- To undertake ...

krg technology inc

Backup / storage

Alpharetta, GA · On-site

Capacity Planning -Backup data growth planning & procurement. Identify opportunities for improving ... Configuring storage resources and media agents in Commcell Storage (L3/L4) :- To undertake ...

krg technology inc

Backup / storage

Alpharetta, GA · On-site

Capacity Planning -Backup data growth planning & procurement. Identify opportunities for improving ... Configuring storage resources and media agents in Commcell Storage (L3/L4) :- To undertake ...

next page

Showing results 1-20

All JobsData Storage JobsData Storage Jobs in Georgia

Data Storage information

See Georgia salary details

$12

$31

$91

How much do data storage jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for data storage in Georgia is $31.61, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $34.09 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Storage Specialist, and why are they important?

To thrive as a Data Storage Specialist, you need expertise in data management, storage architectures, and backup/recovery solutions, often supported by a degree in computer science or information technology. Familiarity with storage area networks (SAN), network-attached storage (NAS), cloud storage platforms, and certifications like CompTIA Storage+ or vendor-specific credentials are typically required. Strong problem-solving skills, attention to detail, and effective communication help you manage complex systems and collaborate across IT teams. These skills ensure data integrity, security, and availability, which are critical for organizational operations and disaster recovery.

What job makes $10,000 a month without a degree?

In data storage and related fields, roles such as cloud solutions architect or senior data engineer can earn $10,000 or more per month, often requiring extensive experience, technical skills, and certifications like AWS or Google Cloud. These positions typically involve managing large-scale data infrastructure and may not require a traditional degree but do demand specialized knowledge and hands-on expertise.

What jobs pay 500,000 a year in the US?

In the field of data storage, high-paying roles such as Chief Data Officer, Data Storage Architect, or senior data infrastructure executives can reach or exceed $500,000 annually, especially in large corporations or tech companies. These positions typically require extensive experience, advanced certifications, and expertise in data management, cloud storage solutions, and enterprise infrastructure. Compensation at this level often includes bonuses, stock options, and other incentives.

What is the difference between Data Storage vs Data Analyst?

AspectData StorageData Analyst
Required CredentialsKnowledge of database systems, certifications like CompTIA Storage+Degree in statistics, data science, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentData centers, IT departments, cloud storage facilitiesOffice settings, analytics teams, business departments
Employer & Industry UsageIT companies, cloud providers, data centersBusiness, finance, marketing, and healthcare sectors
Common Search & Comparison IntentUnderstanding storage solutions, infrastructure rolesAnalyzing data, generating insights

Data Storage focuses on managing and maintaining data infrastructure, while Data Analysts interpret data to support decision-making. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What profession makes $400,000 a year?

In the field of data storage, senior roles such as Data Storage Architects or Chief Data Officers can earn $400,000 or more annually, especially with extensive experience, advanced certifications, and leadership responsibilities. These positions often require expertise in data management, storage solutions, and industry standards, and may involve overseeing large-scale infrastructure or strategic planning.

What jobs make $1,000,000 a year?

In the field of data storage, high-paying roles such as Chief Data Officer, Chief Technology Officer, or senior executive positions in large technology companies can earn over $1 million annually, often including bonuses and stock options. These roles typically require extensive experience, advanced technical skills, and leadership responsibilities in managing data infrastructure and strategy.

What is data storage and why is it important?

Data storage refers to the process of saving digital information on various types of storage media, such as hard drives, solid-state drives, cloud platforms, or optical discs. It is essential for businesses and individuals to securely store, manage, and access their data when needed. Effective data storage ensures data protection, supports business continuity, and enables efficient information retrieval for operations and decision-making.

What are the typical challenges faced when managing large-scale data storage systems, and how are they addressed within a team setting?

Professionals in data storage roles often encounter challenges such as ensuring data security, minimizing downtime, and optimizing performance as storage needs grow. Addressing these issues typically involves close collaboration with IT, network, and security teams to implement robust backup solutions, monitor system health, and maintain compliance with data regulations. Regular team meetings and cross-functional projects are common, allowing team members to share best practices and quickly respond to incidents, ensuring the reliability and scalability of storage systems.
What are the most commonly searched types of Data Storage jobs in Georgia? The most popular types of Data Storage jobs in Georgia are:
What are popular job titles related to Data Storage jobs in Georgia? For Data Storage jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Storage jobs in Georgia look for? The top searched job categories for Data Storage jobs in Georgia are:
What cities in Georgia are hiring for Data Storage jobs? Cities in Georgia with the most Data Storage job openings:
Data Storage jobs near you

Data Engineer

AEG

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 20 days ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Who are we:
A professional basketball team and state-of-the-art arena/entertainment venue that specializes in creating memorable experiences for each guest we interact with. Some of our favorite things are live sports, concerts, comedy shows, family shows, and most any other world-class event you can think of, and we're looking for someone who shares the same interests. We live for the fast-paced world of sports & live entertainment, and as such, we work hard, run fast, execute flawlessly, and party it up when it all comes together. Lastly, we strive to deliver wonderful experiences that create lasting memories, and we prefer to surround ourselves with those who are the best at what they do.
Who are you:
An enthusiastic lover of sports, live entertainment, and people. You have true passion for engaging in meaningful interactions and creating memorable experiences for all guests. You strive to be helpful, engaging, and knowledgeable of all things Atlanta Hawks and State Farm Arena. You enjoy being a part of an exciting and dynamic group, and you're committed to continuously enhancing the productivity and effectiveness of your team. Lastly, you enjoy working hard and celebrating hard, and you'd be shocked if guests weren't positively impacted by their interactions with you.
Job Summary: The Data Engineer is responsible for the end-to-end data lifecycle-from orchestrating high-frequency ingestion pipelines to ensuring reliable delivery through the activation layer. This role focuses on ingesting, transforming, and delivering reliable, high-quality data from a variety of internal and external sources into our cloud data ecosystem.
Working closely with Analytics Engineers, BI Engineers, and business stakeholders, the Data Engineer ensures that data is accessible, timely, and trustworthy-enabling analytics, reporting, marketing activation, and operational decision-making across the company.
In this position, you will play a key role in developing and optimizing the data ingestion and processing layers of our platform. You will be responsible for building robust ETL/ELT pipelines, managing data workflows, and ensuring efficient movement and storage of data across systems. This includes integrating with APIs, streaming platforms, and third-party systems to support both batch and real-time data use cases.
Key Responsibilities:
Data Pipeline Development & Orchestration
  • Design, build, and maintain scalable and reliable data pipelines to ingest data from various sources, including APIs, databases, and SaaS platforms.
  • Develop and optimize ETL/ELT workflows to efficiently process large volumes of data.
  • Implement orchestration frameworks and Databricks-native workflows to manage dependencies and scheduling.
  • Ensure pipelines are fault-tolerant, observable, and recoverable with appropriate logging and alerting.
  • Continuously improve pipeline performance, scalability, and cost efficiency.

Data Platform & Infrastructure
  • Design and maintain core components of the data platform, including data lakes, warehouses, and storage systems.
  • Optimize data storage formats and partitioning strategies for performance and cost.
  • Manage integrations with Databricks and other cloud data platform services.
  • Support both batch and streaming architectures where applicable.
  • Collaborate on infrastructure-as-code and environment management practices.

Data Quality, Reliability & Monitoring
  • Implement data validation and monitoring at ingestion and pipeline stages.
  • Ensure data completeness, freshness, and accuracy through automated checks and alerts.
  • Troubleshoot pipeline failures and data discrepancies, driving root cause resolution.
  • Establish SLAs/SLIs for data availability and pipeline performance.

Data Integration & Enablement
  • Partner with Analytics Engineers to ensure clean handoffs between raw and curated data layers.
  • Enable downstream consumers by delivering well-structured, reliable datasets.
  • Support integrations with downstream tools such as BI platforms, CDPs, and operational systems.
  • Contribute to improving data accessibility and usability across the organization.

Documentation, Governance & Best Practices
  • Document data pipelines, data sources, and system architecture.
  • Maintain clear data lineage and metadata practices.
  • Contribute to standards around naming conventions, code quality, and deployment workflows.
  • Participate in code reviews and CI/CD processes.

Requirements:
  • Strong proficiency in SQL and at least one programming language (Python preferred).
  • Deep understanding of Apache Spark architecture and hands-on experience with PySpark for large-scale data processing and performance optimization.
  • Deep understanding of dimensional data modeling concepts (Kimball) and practical experience building star schemas, including the definition of facts, dimensions, and slowly changing dimensions (SCDs).
  • Experience building and maintaining data pipelines (ETL/ELT).
  • Hands-on experience with Databricks and Databricks-native orchestration/workflow development.
  • Experience with Fivetran for data ingestion and source system connectivity.
  • Experience with dbt, including transformation development, testing, and documentation.
  • Experience with modern cloud data platforms and data engineering best practices.
  • Familiarity with APIs, data ingestion patterns, and data integration techniques.
  • Understanding of distributed data processing and storage concepts.
  • Experience with Git-based workflows (Github Actions) and CI/CD practices.
  • Strong problem-solving skills and ability to debug complex data issues.
  • Experience implementing data governance practices, including data quality frameworks, data lineage, metadata management, access controls, and compliance with organizational and regulatory standards.
  • Proven ability to collaborate cross-functionally with Analytics Engineers, BI teams, Data Scientists, and business stakeholders to translate data requirements into scalable technical solutions.

Preferred Qualifications:
  • Experience with data ingestion and data modeling Ticketmaster's Archtics data is a big plus.
  • Experience with streaming technologies (Kafka, Kinesis, Pub/Sub).
  • Experience architecting and managing data solutions within the Azure ecosystem environment, including deep familiarity with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure functions.
  • Exposure to Unity Catalog, Delta Lake, Databricks SQL, or serverless compute.
  • Experience with infrastructure-as-code (Terraform, CloudFormation).
  • Knowledge of data governance, cataloging, or metadata management tools.
  • Experience in a fast-paced, data-driven organization.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
If this opportunity looks exciting to you, please complete the application process. Go Hawks!

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

View All AEG Jobs

Apply