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Data Storage Remote Jobs (NOW HIRING)

GCP Data Engineer

$117K - $140K/yr

Data Engineer Location: Denver, CO (Remote) Only W2 Candidates Mandatory Skills - GCP - Java ... Manage data storage and lifecycle using Google Cloud Storage (GCS) * Implement version control and ...

GCP Data Engineer

$117K - $140K/yr

Denver, CO (Remote) Only W2 Candidates Job Summary We are seeking a highly skilled Data Engineer ... Manage data storage and lifecycle using Google Cloud Storage (GCS) * Implement version control and ...

$121K - $159K/yr

Our mission is to deliver bulletproof data durability, high throughput, and ultra-low latency while ... Storage Engine Development: Design and develop a highly available, performant, reliable, durable ...

$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 ...

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL ...

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL ...

Data Architect

Cleveland, OH · On-site +1

$61.75 - $79.50/hr

Design scalable storage architectures capable of supporting billions of time-series observations ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Showing results 21-40

Data Storage Remote information

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How much do data storage remote jobs pay per hour?

As of Sep 12, 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 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.

What are the key skills and qualifications needed to thrive as a data storage remote professional?

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 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 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.

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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:

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Infographic showing various Data Storage Remote job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $77,857 per year, or $37.4 per hour.

Lakehouse Developer - Remote

Jersey City, NJ • On-site, Remote

NAVA Software Solutions
IT Services • 51 - 200 employees

Full-time

Re-posted 12 days ago


Job description

NAVA Software is looking for a Lakehouse Developer
Details:
Lakehouse Developer
Location: Remote
Duration: 6 months CTH
Position Summary:
The Lakehouse Developer is responsible for designing, implementing, and maintaining data lakehouse solutions that integrate data storage and analytics. This role involves collaborating with data engineers and analysts to enable data workflows and ensure data integrity. The developer will leverage tools and technologies for efficient data processing and analysis.
Minimum Qualifications:
  • 6+ Years overall IT experience with minimum 4 years of work experience in below tech skills
  • Work experience in data lakehouse in any of these: Apache Iceberg, Databricks, Delta Lake.
  • Proficient in Python scripting and PySpark for data processing tasks.
  • Strong SQL capabilities, with hands-on experience managing big data using ETL tools.
  • Experience with the AWS cloud platform and its data services
  • Skilled in BASH/Shell scripting.
  • Preferred: Experience with Kafka and Mulesoft API.
  • Understanding of healthcare data systems is a plus.
  • Experience in Agile methodologies.
  • Strong analytical and problem-solving skills.
  • Effective communication and teamwork abilities.

Responsibilities:
  • Implement lakehouse architecture to integrate and optimize data storage and analytics processes.
  • Develop ETL pipelines for efficient data ingestion, transformation, and loading from various sources.
  • Optimize query performance by analyzing and tuning data workflows to minimize latency.
  • Implement data governance policies to ensure compliance and protect sensitive data.
  • Collaborate with data teams to gather requirements and deliver solutions that enhance data accessibility.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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