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Hourly Data Optimization Jobs in Florida (NOW HIRING)

Geico

Senior Analytics Data Engineer

Lakeland, FL · Hybrid

$98K - $134K/yr

This role will contribute to the design, testing, optimization, and support of critical data ... Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to ...

Thinkbrg

Fall 2027 Advisory Associate

Tampa, FL · On-site

Analyzing quantitative and qualitative data to identify trends, risks, and opportunities for ... business process optimization initiatives. * Building financial models, business cases, and ...

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Hourly Data Optimization information

What is an hourly data optimization?

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.

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 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.

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 Florida?

The most popular types of Data Optimization jobs in Florida are:

What are popular job titles related to Hourly Data Optimization jobs in Florida?

For Hourly Data Optimization jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Hourly Data Optimization jobs in Florida look for?

The top searched job categories for Hourly Data Optimization jobs in Florida are:

What cities in Florida are hiring for Hourly Data Optimization jobs?

Cities in Florida with the most Hourly Data Optimization job openings:

Hourly Data Optimization jobs near you
Infographic showing various Hourly Data Optimization job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Full-Stack Data Engineer

Base-2 Solutions, LLC

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Key responsibilities

  • Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.

  • Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.

  • Build scalable, secure web applications with metadata-driven search and retrieval features.

Job description

  • Requisition ID: 4080
  • Standard Title:
  • Required Security Clearance: Top Secret/SCI
  • Location: Miami, FL
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes

Position Summary
Base-2 Solutions is seeking a Full-Stack Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.
Essential Duties and Responsibilities
  • Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.
  • Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.
  • Build scalable, secure web applications with metadata-driven search and retrieval features.
  • Integrate APIs for seamless data interoperability.
  • Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
  • Implement RESTful and GraphQL APIs for data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
  • Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
  • Optimize database queries and indexing strategies for large-scale geospatial and structured datasets.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years of equivalent experience in full-stack development and data engineering.
  • Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
  • Experience implementing RESTful and GraphQL APIs for data retrieval and integration.
  • Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.
  • Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.
Preferred Qualifications
  • AWS Certified Data Analytics - Specialty.
  • Microsoft Certified: Azure Data Engineer Associate.
  • ESRI ArcGIS Developer Certification.
Required Education and Experience Equivalency
  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • OR 5 years of equivalent experience in full-stack development and data engineering.
Required Certifications
  • None specified.
Required Security Clearance
  • Active Top Secret/SCI

Pay & Benefit Highlights
Compensation
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
Income Protection
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

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