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Weekend Data Storage Jobs (NOW HIRING)

Data Engineer

Jacksonville, FL · On-site

$96K - $116K/yr

Optimize data storage systems, warehouse/lake environments, and relational database performance ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Jacksonville, FL · On-site

$96K - $116K/yr

Optimize data storage systems, warehouse/lake environments, and relational database performance ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Optimize data storage systems, warehouse/lake environments, and relational database performance ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Optimize data storage systems, warehouse/lake environments, and relational database performance ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Optimize data storage systems, warehouse/lake environments, and relational database performance ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Storage Support Engineer

New York, NY · On-site

$150K - $200K/yr

Direct experience with data protection technologies including Rubrik, Cohesity, and Data Domain ... Willingness to work in shifts, including weekends, participate in on-call rotations, and work from ...

... data, optimizing IT infrastructure, and simplifying business processes through cutting-edge ... Incident support and participation in on-call rotation during off hours and weekends. * Create and ...

... data, optimizing IT infrastructure, and simplifying business processes through cutting-edge ... Incident support and participation in on-call rotation during off hours and weekends. * Create and ...

Direct experience with data protection technologies including Rubrik, Cohesity, and Data Domain ... Willingness to work in shifts, including weekends, participate in on-call rotations, and work from ...

Data Engineer

$78K - $120K/yr

Architect and optimize data storage solutions including databases, data lakes, and warehouses (e.g ... Willingness to work after hours/weekends as required for major deadlines. * Flexibility to ...

Self Storage Consultant

Pasadena, CA · On-site

$18.57 - $19.50/hr

Complete new move-in and move-out transactions, including computer data entry. * Recommend and sell ... Must be available to work weekends and a flexible schedule as needed. * California Driver's License ...

$78K - $120K/yr

Architect and optimize data storage solutions including databases, data lakes, and warehouses (e.g ... Willingness to work after hours/weekends as required for major deadlines. * Flexibility to ...

Analyze storage control data, including temperature, humidity, and airflow, to make decisions that ... Harvest and planting seasons are busy and may require longer hours and some weekends to monitor ...

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Weekend Data Storage information

See salary details

$14

$37

$108

How much do weekend data storage jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for weekend data storage 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 Weekend Data Storage vs Data Analyst?

AspectWeekend Data StorageData Analyst
Required CredentialsIT certifications, data management trainingStatistics, data analysis certifications, degree in related field
Work EnvironmentData centers, server rooms, IT departmentsOffice settings, research labs, client sites
Employer & Industry UsageIT companies, data storage providersBusiness, finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding job roles in data storageComparing data-related roles in tech and business

Weekend Data Storage professionals focus on managing and maintaining data storage systems, often working in IT environments during weekends. Data Analysts interpret data to provide insights, typically working in office settings during regular hours. While both roles involve working with data, their responsibilities, environments, and required skills differ significantly.

More about Weekend Data Storage jobs
What cities are hiring for Weekend Data Storage jobs? Cities with the most Weekend Data Storage 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 Weekend Data Storage jobs? States with the most job openings for Weekend Data Storage jobs include:
Infographic showing various Weekend Data Storage job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $77,857 per year, or $37.4 per hour.
Data Specialist

$50K - $60K/yr

Full-time

Posted 8 days ago


Job description

Data Specialist
Contact Discovery Services - Washington, DC
Location: Washington, DC
Start Date: Negotiable

A leading eDiscovery technology and consulting firm headquartered in Washington, DC is looking for an evidence technician to assist the team. We are seeking a motivated individual with a strong interest in the legal and technology fields, excellent organizational skills, and a passion for delivering top-notch service to our clients. This is a great opportunity to gain valuable experience in a fast-paced and dynamic industry. This position requires a presence at the primary firm office in Washington, DC.

DUTIES OF THE POSITION:
 
Coordinate directly with internal departments for incoming and outgoing evidence shipment
Communicate office needs or challenges to management effectively
Collaborate with project managers and team members to execute complex projects in a deadline-driven environment
Support the development, testing, and refinement of evidence-handling procedures
Ensure strict adherence to chain-of-custody protocols and best practices
Follow standard operating procedures (SOPs) consistently
Conduct quality assurance checks on work products before delivery
Assist with archival and restoration of Relativity data
Apply strong problem-solving and critical-thinking skills to address challenges efficiently
Prioritize projects effectively based on deadlines and scope of work
Perform additional office tasks as needed

JOB RESPONSIBILITES:
Maintain meticulous organization of digital and physical drives, storage, and network folders
Communicate clearly and effectively with managers and team members
Support data intake processes for the data center
Assist with data shipping and case closeouts, including deletion, archival, and restoration
Update chain-of-custody documentation accurately
Prepare base images for self-collection kits and collaborate with Forensics on quality assurance
Demonstrate a quick aptitude for learning new processes and tools
Ability to work certain weekends and some holidays

EXPERIENCE & QUALIFICATIONS:
Exceptional organizational skills for managing data storage, computer devices, hard drives, evidence intake, and shipping
Strong verbal and written communication skills to interact effectively with team members and departments
Self-motivated, with the ability to work collaboratively in a team or independently as needed
Proficient using Microsoft Office Suite (ie. Word, Excel, PowerPoint, Etc.)

THE FOLLOWING SKILLS ARE PREFERRED BUT NOT REQUIRED:
Familiarity with the Electronic Discovery Reference Model (EDRM)
Knowledge of copy tools (e.g., RoboCopy, TeraCopy), BAT (batch files) scripting, etc
General technical computer experience

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.