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Data Storage Remote Jobs (NOW HIRING)

Innowhyte Inc

Optimize and manage data storage systems and ensure high availability, reliability, and performance. Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract ...

Innowhyte Inc

... data storage systems and ensure high availability, reliability, and performance. • Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform ...

Apex Systems

Data Architect

Madison, WI · Remote

$65 - $90/hr

Madison, Wisconsin (Partial Remote) Employment Type: Contract to Perm Role Overview The Data ... Oversee the determination of enterprise data storage approaches and define strategies for data ...

Netflix

Distributed Systems Engineer (L5) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S ... for our backing storage engines including Cassandra. This team is passionate about building ...

SAIC

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... Expertise in data architecture and medallion data storage frameworks (bronze, silver, gold zones)

SAIC

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $85/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... Expertise in data architecture and medallion data storage frameworks (bronze, silver, gold zones)

Noblesoft Technologies

$68.75 - $92/hr

Remote JD We are seeking a highly skilled and motivated Senior Data Engineer/s to architect and implement scalable ETL and data storage solutions using Microsoft Fabric and the broader Azure ...

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All JobsData Storage Remote Jobs

Data Storage Remote information

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$14

$37

$108

How much do data storage remote jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data storage remote in the United States is $37.43, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $40.38 per hour, depending on experience, location, and employer.

What is the difference between Data Storage Remote vs Data Analyst?

AspectData Storage RemoteData Analyst
Required CredentialsKnowledge of storage systems, certifications like CompTIA Storage+Statistics, SQL, data visualization certifications
Work EnvironmentRemote, technical support, storage managementRemote or on-site, data interpretation and reporting
Industry UsageIT, cloud services, data centersBusiness, marketing, finance

Data Storage Remote and Data Analyst roles often share remote work environments and require technical certifications. However, Data Storage Remote focuses on managing storage systems and infrastructure, while Data Analysts analyze data to generate insights. Both roles are vital in data-driven industries but serve different functions within organizations.

What are some common challenges faced by professionals in Data Storage Remote roles and how can they be addressed?

One common challenge in remote data storage roles is ensuring secure and reliable access to storage systems from various locations while maintaining compliance with company policies. Effective communication and close collaboration with IT security, network, and infrastructure teams are essential to quickly resolve issues and implement best practices. Additionally, staying up to date with new storage technologies and remote management tools can help professionals respond proactively to performance or capacity concerns. Regular virtual meetings and clear documentation also contribute to successful teamwork in a remote environment.

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

To thrive as a Data Storage Remote professional, you need expertise in managing storage infrastructure, understanding data backup and recovery, and knowledge of storage protocols, often supported by a degree in IT or related certifications. Familiarity with storage management tools like NetApp, EMC, or AWS S3, and certifications such as CompTIA Storage+ or vendor-specific credentials, are typically required. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These skills ensure data integrity, system reliability, and seamless collaboration across distributed teams in critical IT environments.

What does a Data Storage Remote professional do?

A Data Storage Remote professional is responsible for managing, maintaining, and optimizing data storage systems while working remotely. Their tasks typically involve setting up storage solutions, monitoring performance, ensuring data security, and troubleshooting issues from a remote location. They may work with cloud storage, network-attached storage (NAS), or other enterprise storage systems. This role is critical for organizations that rely on secure, accessible, and scalable data storage solutions. Remote work allows these professionals to provide support and maintenance without being physically present at the data center.
More about Data Storage Remote jobs
What cities are hiring for Data Storage Remote jobs? Cities with the most Data Storage Remote job openings:
What are the most commonly searched types of Data Storage jobs? The most popular types of Data Storage jobs are:
What states have the most Data Storage Remote jobs? States with the most job openings for Data Storage Remote jobs include:
What job categories do people searching Data Storage Remote jobs look for? The top searched job categories for Data Storage Remote jobs are:
Data Storage Remote jobs near you
Infographic showing various Data Storage Remote job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 76% Full Time, 14% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $77,857 per year, or $37.4 per hour.

Data Architect (Remote)

Innowhyte Inc

On-site, Remote

Full-time

Posted 17 days ago

Job description

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale data systems. If you have a passion for working with data and enabling AI/ML capabilities in products, we want to hear from you.
Key Responsibilities:
Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications.
Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions.
Optimize and manage data storage systems and ensure high availability, reliability, and performance.
Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications.
Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly.
Handle large-scale datasets, ensuring data integrity and consistency across platforms.
Provide technical expertise and mentorship to junior engineers and stakeholders.
Implement best practices in data engineering, including version control, testing, and deployment.
Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.
Requirements:
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum 5+ years of hands-on experience in data engineering or related roles.
Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark).
Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes.
Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration.
Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark.
Hands-on technical expertise in designing and implementing end-to-end data solutions.
Familiarity with Generative AI (GenAI) and AI/ML technologies.
What We Offer:
Enjoy the flexibility to work from the comfort of your home, with no commute hassles.
Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions.
Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization.
Become a key member of the engineering leadership team, driving innovation and excellence within the data domain.
Work with state-of-the-art technologies in AI, ML, and data engineering.
Competitive compensation and ample opportunities for career growth.
Employment Type: FULL_TIME

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