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Data Storage Jobs in Arkansas (NOW HIRING)

R2 Technologies Corporation

GCPData Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Implement and manage data storage and processing solutions using Apache Hudi and Big Query. * Develop and optimize data pipelines for structured and unstructured data in GCP environments, leveraging ...

Pwc

Data Engineer - Manager

Little Rock, AR · 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 ...

Pwc

Data Engineer - Manager

Fayetteville, AR · 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 ...

General Electric Company

Data Engineer

Arkansas City, AR

$106K - $128K/yr

Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques * Hands-on ...

Pwc

Data Engineer - Senior Associate

Little Rock, AR · On-site

$77K - $202K/yr

... and storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP services - Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory ...

Pwc

Data Engineer - Senior Associate

Fayetteville, AR · On-site

$77K - $202K/yr

... and storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP services - Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory ...

Movable Ink

Senior Data Engineer, AI Systems

Ink, AR · On-site

$165K - $215K/yr

Build and maintain our ML Data Lake, ensuring data quality, accessibility, and efficient storage * Support the data needs of ML Engineers and Scientists for model development, training, and ...

Walmart

(USA) Staff, Data Scientist

Bentonville, AR · On-site

$143K - $286K/yr

Strong knowledge of data strategy, including data quality standards, governance, and scalable data storage solutions. * Experience in model assessment, validation, and deployment using statistical ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

BigQuery, Cloud Storage, Pub/Sub, Dataflow • Solid understanding of ETL/ELT patterns and data warehousing principles Preferred : • GCP Professional Data Engineer certification • Experience ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

BigQuery, Cloud Storage, Pub/Sub, Dataflow * Solid understanding of ETL/ELT patterns and data warehousing principles PREFERRED QUALIFICATIONS * GCP Professional Data Engineer certification

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

BigQuery, Cloud Storage, Pub/Sub, Dataflow * Solid understanding of ETL/ELT patterns and data warehousing principles PREFERRED QUALIFICATIONS * GCP Professional Data Engineer certification

JARBO

Data Cable Technician

Bentonville, AR

$25 - $35/hr

... storage, and plant facilities * Upgrade and install network switches, wireless access points ... Data Cable Technician * 2+ years of experience as a Data Cable Technician or Structured Cabling ...

JARBO

Data Cable Technician

Bentonville, AR

$25 - $35/hr

... storage, and plant facilities * Upgrade and install network switches, wireless access points ... Data Cable Technician * 2+ years of experience as a Data Cable Technician or Structured Cabling ...

JARBO

Data Cable Technician

Bentonville, AR

$25 - $35/hr

... storage, and plant facilities * Upgrade and install network switches, wireless access points ... Data Cable Technician * 2+ years of experience as a Data Cable Technician or Structured Cabling ...

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Data Storage information

See Arkansas salary details

$12

$30

$89

How much do data storage jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data storage in Arkansas is $30.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $33.41 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Data Storage jobs in Arkansas?

The most popular types of Data Storage jobs in Arkansas are:

What are popular job titles related to Data Storage jobs in Arkansas?

For Data Storage jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Data Storage jobs in Arkansas look for?

The top searched job categories for Data Storage jobs in Arkansas are:

Data Storage jobs near you
Infographic showing various Data Storage job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $64,380 per year, or $31 per hour.

GCPData Engineer

R2 Technologies Corporation

Bentonville, AR • On-site

$100K - $120K/yr

Full-time

Re-posted 24 days ago

Job description

Overview:
Job Role: GCP Data Engineer
Duration: Long Term contract
Location: Bentonville, Arkansas
Position Overview:
Data engineer with experience with ETL workflows and data pipelines using tools like Hive, Spark and Airflow. The ideal candidate should be an expert in developing, testing and deployment of data pipelines, data analytics efforts, proactive issue identification and resolution and alerting mechanism using traditional, new and emerging technologies. Excellent written and verbal communication skills and ability to liaise with technologists to executives is key to be successful in this role.
Responsibilities :
  • Design, develop, and maintain robust and scalable ETL workflows and data pipelines using tools like Hive, Spark, and Airflow.
  • Implement and manage data storage and processing solutions using Apache Hudi and Big Query.
  • Develop and optimize data pipelines for structured and unstructured data in GCP environments, leveraging GCS for data storage.
  • Write clean, maintainable, and efficient code in Scala and Python to process and transform data.
  • Ensure data quality, integrity, and consistency by implementing appropriate data validation and monitoring techniques.
  • Work with cross-functional teams to understand business requirements and deliver data solutions that drive insights and decision-making.
  • Troubleshoot and resolve performance and scalability issues in data processing and pipelines.
  • Stay updated with the latest developments in big data technologies and tools and incorporate them into the workflow as appropriate.

Skills:
  • Proven experience as a Data Engineer, preferably in a big data environment.
  • Expertise in Hive, Spark, and Apache Hudi for big data processing and storage.
  • Hands-on experience with BigQuery and Google Cloud Platform (GCP) services such as GCS, Dataflow, and Pub/Sub.
  • Strong programming skills in Scala and Python, with experience in building data pipelines and ETL processes.
  • Proficiency with workflow orchestration tools like Apache Airflow.
  • Solid understanding of data warehousing concepts, data modelling, and schema design.
  • Knowledge of distributed systems and parallel processing.
  • Strong problem-solving skills and ability to work with large datasets in a fast-paced environment.

Skills:
GCP,Dataflow,BigQuery

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