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Remote Cloud Storage Jobs (NOW HIRING)

New York , NY(Remote) Type: Contract Mandatory Skills : AVID MAM API, DIVA connectors, Migration ... Familiarity with Google Cloud Storage GCS or other cloud storage platforms * Knowledge of metadata ...

Remote Salary: $50.00-$65.00/Hourly Role: Senior Cloud Developer Primary Skills: Azure, GCP ... Storage. - Integrate GCP services into CI/CD pipelines using GitHub Actions. - Automate ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

... Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog Compensation Starting around $130K OTE, adjusted for experience and location. Location U.S. remote (limited state ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

... Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog Compensation Starting around $130K OTE, adjusted for experience and location. Location U.S. remote (limited state ...

GCP Cloud Engineer

Dearborn, MI · Remote

$162.12K/yr

... storage, and interoperability initiatives. As a key member of our Enterprise Technology Group, you ... 0660. #LI-Remote #LI-KF2 * You will work with Technology and Software Platform teams to provide ...

.Net Developer

$49.50 - $65.25/hr

Title: .Net Developer (Sr. & Mid-Level) Duration: 9 + Months Location: Pittsburgh PA ( Remote ... Experience with GCP resources such as pub sub, cloud storage, etc * Angular development knowledge

... Engine, Cloud Storage, Cloud SQL (GCP), and Active Directory or equivalent identity services ... Location: * Remote (US) Clearance: * Must be a US Citizen with the ability to obtain a security ...

... Engine, Cloud Storage, Cloud SQL (GCP), and Active Directory or equivalent identity services ... Location: * Remote (US) Clearance: * Must be a US Citizen with the ability to obtain a security ...

... Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion ... first year remote office setup + $400 each following year for new equipment * Internet ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Robust knowledge of cloud storage aspects (ADLS gen2) * Expertise in cloud security aspects

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How much do remote cloud storage jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote cloud storage in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Cloud Storage Engineer, you need expertise in cloud storage solutions, networking, and data security, typically supported by a degree in computer science or related certifications. Familiarity with platforms like AWS S3, Microsoft Azure Blob Storage, and automation tools such as Terraform or Ansible is commonly required. Strong problem-solving, communication, and self-motivation are valuable soft skills in remote settings. These skills ensure reliable, secure storage infrastructure and efficient collaboration across distributed teams.

What are some common challenges faced when working in a Remote Cloud Storage role, and how can they be addressed?

Professionals in Remote Cloud Storage roles often navigate challenges such as ensuring data security, managing access controls, and maintaining system uptime across distributed environments. Collaboration with IT security teams and adherence to best practices like regular audits and encryption can help mitigate security risks. Staying updated with the latest cloud provider tools and maintaining clear communication with cross-functional teams is essential for troubleshooting and optimizing storage solutions. Proactively engaging in ongoing training and leveraging documentation resources can also ease the adaptation to evolving cloud technologies.

What is a Remote Cloud Storage specialist?

A Remote Cloud Storage specialist is a professional who manages, maintains, and optimizes cloud-based storage solutions for organizations or clients, typically while working remotely. They are responsible for ensuring data is securely stored, easily accessible, and efficiently backed up across cloud platforms like AWS, Google Cloud, or Microsoft Azure. Their work often includes troubleshooting storage issues, implementing data protection protocols, and helping organizations scale their storage needs as they grow.

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

AspectRemote Cloud StorageCloud Data Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), IT skillsData analysis certifications (e.g., Tableau, SQL), degree in data-related fields
Work EnvironmentIT infrastructure, cloud platforms, remote serversData analysis tools, dashboards, cloud environments
Employer & Industry UsageTech companies, cloud service providers, remote IT teamsBusiness, finance, marketing sectors utilizing cloud data
Search & Comparison IntentUnderstanding cloud storage roles, job requirementsData analysis in cloud environments, job differences

Remote Cloud Storage professionals focus on managing and maintaining cloud storage solutions, ensuring data security and accessibility. Cloud Data Analysts interpret data stored in cloud platforms to generate insights for business decisions. While both roles work within cloud environments, their core responsibilities differ: one manages infrastructure, the other analyzes data.

More about Remote Cloud Storage jobs
What cities are hiring for Remote Cloud Storage jobs? Cities with the most Remote Cloud Storage job openings:
What are the most commonly searched types of Cloud Storage jobs? The most popular types of Cloud Storage jobs are:
What states have the most Remote Cloud Storage jobs? States with the most job openings for Remote Cloud Storage jobs include:
Infographic showing various Remote Cloud Storage job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.
Google Cloud Data Migration Lead

Google Cloud Data Migration Lead

IT America Inc

Dallas, TX • Remote

Contractor

Posted 24 days ago


Job description

Position: Google Cloud Data Migration – Data Migration Team Lead

Location: Remote

Duration: Long term contract

Job Summary:

Seeking a Google Cloud data engineer to design, build, and maintain scalable and efficient data processing systems on the Google Cloud platform. This engineer will be responsible for the entire data lifecycle, from ingestion and storage to processing, transformation, and analysis. Their work will enable client organizations to make data-driven decisions by providing clean, high-quality data to business intelligence tools, AI systems, analysts and data scientists.

Key Responsibilities:

  • Serve as Data Migration team leader for a large data and application migration to the Google Cloud platform.
  • As Data Migration team leader, this individual will be responsible for our team’s endto-end data architecture and migration planning to support the migration effort as well as future-state client efforts on the Google Cloud platform.
  • As Data Migration team leader, this individual will collaborate closely with the overall Google Cloud migration team leadership, working to deliver a successful application and data migration.
  • Design and build data pipelines: Develop and maintain reliable and scalable batch and real-time data pipelines using GCP tools such as Cloud Dataflow (based on Apache Beam), Cloud Pub/Sub, and Cloud Composer (for Apache Airflow).
  • Create and manage data storage solutions: Implement data warehousing and data lake solutions using GCP products like BigQuery, Cloud Storage, and other transactional or NoSQL databases such as CloudSQL or Bigtable.
  • Ensure data quality and integrity: Develop and enforce procedures for data governance, quality control, and validation throughout the data pipeline to ensure data is accurate and reliable.
  • Optimize performance and cost: Monitor data infrastructure and pipelines to identify and resolve performance bottlenecks, ensuring that all data solutions are cost-effective and scalable.
  • Collaborate with other teams: Work closely with data scientists, analysts, and business stakeholders to gather requirements and understand data needs, translating them into technical specifications.
  • Automate and orchestrate workflows: Automate data processes and manage complex workflows using tools like Cloud Composer.
  • Implement security: Design and enforce data security and access controls using GCP Identity and Access Management (IAM) and other best practices.
  • Maintain documentation: Create and maintain clear documentation for data pipelines, architecture, and operational procedures.

Required Skills & Qualifications:

  • GCP Certified professional
  • 8+ years of data engineering experience developing large data pipelines in very complex environments
  • Very Strong SQL skills and ability to build very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
  • Very strong understanding of data migration methods and tooling, with hands-on experience in at least three (3) data migrations to Google Cloud

Google Cloud Platform: Hands-on experience with key GCP data services is essential, including:

  1. BigQuery: For data warehousing and analytics.
  2. Cloud Dataflow: For building and managing data pipelines.
  3. Cloud Storage: For storing large volumes of data.
  4. Cloud Composer: For orchestrating workflows.
  5. Cloud Pub/Sub: For real-time messaging and event ingestion.
  6. DataProc: For running Apache Spark and other open-source frameworks.
  • Programming languages: Strong proficiency in programming languages, most commonly Python, is mandatory. Experience with Java or Scala is also preferred.
  • SQL expertise: Advanced SQL skills for data analysis, transformation, and optimization within BigQuery and other databases.
  • ETL/ELT: Deep knowledge of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes.
  • Infrastructure as Code (IaC): Experience with tools like Terraform for deploying and managing cloud infrastructure.
  • CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) pipelines using tools such as GitHub Actions or Jenkins.
  • Data modeling: Understanding of data modeling, data warehousing, and data lake concepts