1

Hourly Data Optimization Jobs in California (NOW HIRING)

Data Engineer

Irvine, CA · Hybrid

$34.47 - $38.46/hr

Understanding of database performance tuning techniques, including indexing and query optimization ... Good communication and collaboration Salary Range: $34.47 to $38.46 hourly + bonus eligibility.

Data Science Intern

San Diego, CA · On-site

$18 - $20/hr

Data Manager, Supervisory Pay : $18.00-$20.00 Hourly A thriving future for California's environment ... Contribute to various projects and assist in designing and optimizing data pipelines, which may ...

New

Sr. Data Architect

San Diego, CA · On-site

$72.29 - $93.28/hr

No Hourly Pay Range (Minimum - Midpoint - Maximum): $72.290 - $93.280 - $104.470 The stated pay ... Optimizes or revises existing data models and/or ETLs to ensure optimal performance. Approves all ...

Sr. Data Architect

San Diego, CA · On-site

$72.29 - $104.47/hr

No**Hourly Pay Range (Minimum - Midpoint - Maximum):**$72.290 - $93.280 - $104.470The stated pay ... Optimizes or revises existing data models and/or ETLs to ensure optimal performance. Approves all ...

Temporary Salary: $68-74 Hourly Start Date: Jul 13, 2026 Aquent is proud to partner with a leading ... Your expertise will directly fuel innovation, from optimizing automation and inventory management ...

... and optimization of enterprise-scale data center infrastructure. This role demands extensive ... Publishing Pay Range: $46.72 - $49.93 hourly This position is based in office and requires employee ...

New

Data Engineer

Irvine, CA · On-site

$34.47 - $38.46/hr

Understanding of database performance tuning techniques, including indexing and query optimization ... Good communication and collaboration Salary Range: $34.47 to $38.46 hourly + bonus eligibility.

Data Engineer

Irvine, CA · On-site

$34.47 - $38.46/hr

Understanding of database performance tuning techniques, including indexing and query optimization ... Good communication and collaboration Salary Range: $34.47 to $38.46 hourly + bonus eligibility.

Senior Data Analytics Developer

La Mirada, CA · On-site

$109.57 - $146.10/hr

Determine the optimal data architecture to ensure seamless data integration, distribution, and ... The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces ...

Showing results 21-40

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 California?

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

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

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

Infographic showing various Hourly Data Optimization job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$34.47 - $38.46/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Yum! Brands rating

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Location Requirement: Hybrid onsite in Irvine, CA

Our dynamic Habit Burger team is building industry leading technology for our staff and restaurant guests. Customers love using our highly rated app and website for their ordering needs. Our restaurant managers use our applications to manage employee schedules, inventory, and the financials of their business. We also seamlessly integrate with several 3rd party delivery services such as DoorDash, Grubhub and UberEats.

We are seeking a Data Engineer to become part of our dynamic data team. In this role, you will work in a hands-on technical role on a team focused on delivering the best experience to our internal restaurant staff and our customers.

  • A BS in Computer Science or equivalent experience
  • 2-4 years designing, developing, and maintaining a database 
  • Proficiency in MSSQL (T-SQL, Stored Procs) or equivalent
  • Working knowledge of at least one database management system (e.g., Oracle, MySQL, Microsoft SQL Server)
  • Familiarity with database design principles and techniques, including data modeling and normalization
  • Understanding of database performance tuning techniques, including indexing and query optimization
  • Prior knowledge of ETL concepts and processes, including data transformation, and data loading. Some experience with at least one ETL tool a plus.
  • Flexible working in a variety of IDEs such as visual studio, snowflake, and others
  • Exposure to visualization tools such as DOMO, Power BI and Tableau is desirable, with DOMO experience preferred
  • Experience with SSIS, SSRS, and SSAS is a plus
  • Knowledge of programming languages such as Python is a plus
  • Awareness of laws surrounding data and data privacy
  • Strong problem-solving skills and attention to detail
  • Strong work ethic and willingness to learn
  • Good communication and collaboration

Salary Range: $34.47 to $38.46 hourly + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate's location, experience, and other job-related factors.

At Yum! Brands and at The Habit Restaurants, LLC, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. The Habit Restaurants, LLC is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity.  We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. We are committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

US Job Seekers/Employees - Click here to view the "Know Your Rights" poster and supplement and the Pay Transparency Policy Statement.

Employment eligibility to work with Yum! in the U.S. is required as the company will not pursue visa sponsorship for this position.

BENEFITS

Competitive base pay with benefits including:

  • Up to 4 weeks of vacation per year plus additional sick days

  • Hybrid work schedule and year-round flex day Friday

  • Up to 10 Paid Holidays + 1 Floating holidays

  • The company provided Recharge Days to unplug and reenergize

  • Competitive bonus program for eligible roles

  • Recognition-based culture.

FAMILY BENEFITS:

  • Comprehensive medical, dental, and vision benefits including prescription drug benefits & 100% preventative care starting on Day 1

  • Healthcare and dependent care flexible spending accounts

  • Employee Assistance Program available to all employees and their dependents

  • Generous parental leave

  • Onsite Childcare through Bright Horizons

ADDITIONAL PERKS:

  • 401(k) benefit plan with a 6% matching contribution

  • Up to 2 Paid Days to Volunteer for any non-profit or charitable organization important to you

  • Access to LinkedIn Learning

  • A BS in Computer Science or equivalent experience
  • 2-4 years designing, developing, and maintaining a database 
  • Proficiency in MSSQL (T-SQL, Stored Procs) or equivalent
  • Working knowledge of at least one database management system (e.g., Oracle, MySQL, Microsoft SQL Server)
  • Familiarity with database design principles and techniques, including data modeling and normalization
  • Understanding of database performance tuning techniques, including indexing and query optimization
  • Prior knowledge of ETL concepts and processes, including data transformation, and data loading. Some experience with at least one ETL tool a plus.
  • Flexible working in a variety of IDEs such as visual studio, snowflake, and others
  • Exposure to visualization tools such as DOMO, Power BI and Tableau is desirable, with DOMO experience preferred
  • Experience with SSIS, SSRS, and SSAS is a plus
  • Knowledge of programming languages such as Python is a plus
  • Awareness of laws surrounding data and data privacy
  • Strong problem-solving skills and attention to detail
  • Strong work ethic and willingness to learn
  • Good communication and collaboration
  • Develop and maintain stored procedures, triggers, and other database objects
  • Participate in the development of reports and integration with other systems
  • Perform database testing and debugging
  • Participate in code reviews 
  • Document database design, architecture, and processes
  • Implement and maintain database security measures
  • Ensure data security, data integrity, and data quality
  • Monitor database performance and resolve issues as necessary
  • Transition efficiently between various tasks such as high priority requests and ongoing projects.
  • Collaborate with other developers, stakeholders, and end-users to understand requirements and provide solutions that meet business needs
  • Architect, develop, and manage scalable, reliable data pipelines

What Yum! Brands employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom