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Hourly Data Optimization Jobs in Georgia (NOW HIRING)

Data Center Technician

Atlanta, GA ยท On-site

$30 - $36/hr

As a W-2 hourly employee, you will work under the direction of Introl project leadership and ... Support optimal performance and availability of deployed systems Technical Support ...

Data Scanning Associate

Atlanta, GA ยท On-site

$15.50 - $20/hr

... hourly minimum! (only for areas with wage floor) Benefits: * A comprehensive initial training ... Optimized, flexible work schedules that enable a healthy work-life balance. * Paid drive time and ...

Data Scanning Associate

Atlanta, GA ยท On-site

$15.50 - $20/hr

... hourly minimum! (only for areas with wage floor) Benefits: * A comprehensive initial training ... Optimized, flexible work schedules that enable a healthy work-life balance. * Paid drive time and ...

Performance Marketing Analyst

Atlanta, GA ยท On-site +1

$25 - $28/hr

Temp to Perm Salary: $25-28 Hourly DOE Start Date: Jul 27, 2026 Are you a data-driven thinker who ... Analytics & Optimization: Monitor, analyze, and optimize performance marketing metrics across ...

... optimization. **Candidate MUST be local to Metro Atlanta** Job Summary: Human Resources Business ... Performs data imports and exports within prescribed timeframes, conducts routine checks for quality ...

... optimization, and user experience (UI/UX). * Data-driven mindset with the ability to analyze ... Wellness Program * Short-Term Disability Coverage (for hourly roles) * Long-Term Disability

Mulesoft Developer

Atlanta, GA ยท On-site

$60 - $65/hr

Atlanta, GA Salary: $60.00 USD Hourly - $65.00 USD Hourly Description: About the Role Seeking an ... Perform data transformation using DataWeave, SQL, JSON, and XML. * Collaborate with cross ...

New

If you're someone who enjoys blending creativity with data, staying on top of trends, and ... and optimizing digital marketing campaigns, particularly on Facebook and related platforms Help ...

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Hourly Data Optimization information

What is an Hourly Data Optimization job?

An Hourly Data Optimization job involves analyzing and improving data processes on an hourly basis to ensure optimal performance and efficiency. Professionals in this role often monitor data flows, identify bottlenecks, and implement solutions to enhance data accuracy and speed. They may also use specialized software or algorithms to automate data optimization tasks and support business decision-making. This job is common in industries that rely on real-time data, such as e-commerce, logistics, and digital marketing.

Is 30 too late for data science?

Age is not a barrier to entering data science or related roles like hourly data optimization. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding data analysis tools. Many professionals transition into data roles at various ages, and employers value diverse backgrounds and ongoing education.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance system performance and decision-making. For example, a data analyst might clean and organize large datasets using tools like SQL or Excel to ensure accurate reporting and efficient data retrieval.

Is 40 too late for data science?

Age is not a strict barrier for data science roles, including hourly data optimization positions. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Success depends on your skills, experience, and ability to adapt to evolving technologies, not age alone.

What are the key skills and qualifications needed to thrive as an Hourly Data Optimization Specialist, and why are they important?

To thrive as an Hourly Data Optimization Specialist, you need strong analytical abilities, proficiency in data management, and a background in mathematics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, and business intelligence platforms, along with certifications in data analysis or optimization, is often required. Attention to detail, problem-solving skills, and effective communication help professionals excel in interpreting data trends and collaborating with teams. These skills are crucial for driving continuous improvements and ensuring data-driven decisions that enhance organizational efficiency.

Do data entry jobs really pay?

Data entry jobs, including hourly positions, typically pay based on an hourly rate or per task completed. Wages can vary depending on experience, location, and the complexity of the work, with hourly rates often ranging from minimum wage to higher depending on skill level and employer.

What are some common challenges faced by professionals in Hourly Data Optimization, and how can they be addressed?

Professionals in Hourly Data Optimization often encounter challenges such as managing large volumes of real-time data, ensuring data accuracy, and quickly identifying actionable insights under tight deadlines. To address these, it is important to leverage automation tools, maintain clear documentation, and collaborate closely with data engineers and analysts. Regular communication with stakeholders also helps prioritize optimization tasks and align efforts with business goals, ensuring that improvements have a measurable impact.

What is the difference between Hourly Data Optimization vs Data Analyst?

AspectHourly Data OptimizationData Analyst
CredentialsTypically requires data management or analytics certificationsOften requires a degree in data science, statistics, or related fields
Work EnvironmentProject-based, often freelance or contract rolesFull-time, office or remote corporate setting
Industry UsageUsed in marketing, e-commerce, and digital advertisingCommon across finance, healthcare, and business intelligence
Search & Comparison IntentFocuses on optimizing data for specific tasks on an hourly basisAnalyzes data to generate insights and reports

Hourly Data Optimization involves short-term, task-specific data work often on an hourly basis, while Data Analysts typically handle broader data analysis projects within organizations. Both roles require analytical skills, but their scope and work environment differ significantly.

What are the most commonly searched types of Data Optimization jobs in Georgia? The most popular types of Data Optimization jobs in Georgia are:
What cities in Georgia are hiring for Hourly Data Optimization jobs? Cities in Georgia with the most Hourly Data Optimization job openings:

Data Center Technician

Introl

Atlanta, GA โ€ข On-site

$30 - $36/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 21 days ago


Job description

About Atlanta

Atlanta is a major technology hub in the Southeast with a rapidly growing data center market. The city's strategic location, robust power infrastructure, and business-friendly environment make it ideal for AI and GPU computing deployments.

About Introl

Introl stands apart as a leader in GPU infrastructure deployments, specializing in large-scale GPU cluster deployments having deployed 100,000+ of the most advanced GPUs available. When failure is not an option, Introl delivers.

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime.

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in hyperscale data centers and advanced AI research facilities. Weโ€™re looking for exceptional talent who thrive in high-pressure, high-reward environments.

Position Overview

Introl is seeking experienced Data Center Technicians to join our team as hourly, project-based W-2 employees supporting GPU infrastructure deployment projects across the U.S. This role is ideal for individuals who enjoy hands-on technical work in fast-paced environments and are looking to contribute to high-impact, mission-critical deployments.

As a W-2 hourly employee, you will work under the direction of Introl project leadership and collaborate closely with cross-functional teams to execute data center builds, upgrades, and migrations. Assignments are project-based and may vary in duration, location, and scope depending on business needs.

This is an hourly position with compensation based on experience, project complexity, and location, with opportunities for continued project assignments based on performance and business demand.

Key Responsibilities

GPU Infrastructure & Hardware Management

Deploy, configure, and maintain large-scale GPU clusters and high-performance computing systems

Install, troubleshoot, and repair GPU servers, networking equipment, and associated hardware

Perform hardware diagnostics and coordinate large-scale fiber optic connectivity

Execute precise hardware migrations and rack installations

Data Center Operations

Monitor and maintain data center infrastructure including power, cooling, and environmental systems

Perform routine maintenance on servers, storage systems, and networking equipment

Execute data center migrations ranging from single racks to full facility relocations

Support optimal performance and availability of deployed systems

Technical Support & Troubleshooting

Diagnose and resolve complex hardware and network connectivity issues

Perform system upgrades, patches, and configuration changes

Document all work performed in accordance with company and industry standards

Quality Assurance & Safety

Adhere to applicable laws, rules, and regulations (e.g., OSHA, NEC)

Conduct quality control checks on all installations and deployments

Maintain clean room standards and proper electrostatic discharge procedures

Required Qualifications

Technical Skills

2+ years of experience in data center operations or hardware deployment

Strong knowledge of server hardware, networking equipment, and data center infrastructure

Experience with GPU systems, high-performance computing, or AI infrastructure preferred

Proficiency with fiber optic installations and network cabling

Understanding of power distribution, cooling systems, and environmental monitoring

Core Competencies

Ability to work in fast-paced, high-pressure environments

Strong problem-solving skills and attention to detail

Excellent communication and documentation abilities

Physical ability to lift up to 50 lbs. and work in confined spaces

Availability during nights, weekends, or non-standard hours as needed

Legal authorization to work in the U.S. without sponsorship

Certifications (Preferred)

CompTIA Server+ or equivalent hardware certification

Data center or network infrastructure certifications

Fiber optic installation certification

Vendor-specific certifications (NVIDIA, AMD, Intel)

Employment Structure & Expectations

This is a W-2 hourly, project-based position

Employees are scheduled and assigned to specific projects based on business needs

Work hours may vary depending on project timelines and operational requirements

Overtime may be required and will be compensated in accordance with applicable laws

Employees are expected to follow all company policies, safety standards, and reporting structures

Tools, equipment, and materials will be provided as required for project execution

Compensation & Benefits

Hourly rate commensurate with experience and project scope

Overtime eligibility in accordance with federal and state law

Access to Introl employee benefits (where applicable based on eligibility), which may include:

Medical, dental, and vision coverage

401(k) plan

Paid sick time in accordance with state/local requirements

Opportunities for continued project assignments and career growth within Introl