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Data Storage Remote Jobs (NOW HIRING)

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 ...

University of Illinois

Data Analyst - Remote

Urbana, IL · On-site +1

$75K - $85K/yr

APPLY NOW Data Analyst - Remote AITS Admin - Hybrid/Remote Sponsorship for work authorization is ... Familiarity with modern data analytics, including data virtualization and cloud data storage.

Kasmo Global

Data Architect

Plano, TX · Remote

$61.25 - $78.75/hr

Data Architect- Healthcare Tentative Duration - 6 months+ Location - Remote / EST hours About the ... storage, and analysis of healthcare data in different data platforms (Data Warehouse & Data Lake)

rockITdata

Full Stack Data Engineer

Arlington, VA · Remote

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 ...

JConnect Infotech

Data Engineer

Raleigh, NC · Remote

$111.30K - $133.70K/yr

Remote/Hybrid- only from Raleigh, NC | Phoenix, AZ | Dallas, TX Duration: Full Time • Hands-on ... Enhance data flows and storage solutions for improved performance • Data Warehousing - Design and ...

JConnect Infotech

Data Engineer

Dallas, TX · Remote

$113.70K - $136.60K/yr

Remote/Hybrid- only from Raleigh, NC | Phoenix, AZ | Dallas, TX Duration: Full Time • Hands-on ... Enhance data flows and storage solutions for improved performance • Data Warehousing - Design and ...

Delineate

Data Engineer II

Indianapolis, IN · On-site +1

$109.40K - $131.40K/yr

... remote work, Professional development, Access to life insurance benefits, short and long-Term ... Data Storage and Databases: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL ...

Elios, Inc.

Senior Data Engineer

Houston, TX · Remote

$101.20K - $137.50K/yr

Fully Remote: Work from anywhere with flexible hours that fit your lifestyle. * Award-Winning ... Manage and optimize data storage solutions like Azure Data Lake Storage , Snowflake , and Synapse ...

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How much do data storage remote jobs pay per hour?

As of Jun 1, 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 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 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 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 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.

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 May 2026, with employment types broken down into 3% As Needed, 49% Full Time, 42% Part Time, and 6% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $77,857 per year, or $37.4 per hour.
Data Engineer/s or architect

Data Engineer/s or architect

Noblesoft Technologies

Remote

$68.75 - $92/hr

Contractor

Posted yesterday

Job description

Job Role: Senior Data Engineer/s or architect
Location: 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 technology stack. This role will be pivotal in building a metadata-driven data lake that ingests data from over 100 structured and semi-structured sources, enabling rich insights through canned reports, conversational agents, and analytics dashboards.
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes