1

Data Transformation Jobs in California (NOW HIRING)

Data Engineer

Irvine, CA · Hybrid

$34.47 - $38.46/hr

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 ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Define and implement data transformations, semantic structures, and curated data assets that improve usability, consistency, downstream performance, and trust in the data. * Apply strong data quality ...

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Architect and implement a scalable data hub solution on AWS using best practices for data ingestion, transformation, storage, and access control. * Define data models, data lineage, and data quality ...

AWS Data Architect

Torrance, CA · On-site

$65.50 - $84.25/hr

Architect and implement a scalable data hub solution on AWS using best practices for data ingestion, transformation, storage, and access control. * Define data models, data lineage, and data quality ...

Data Modeling, Transformation & Engineering 30% * Build and maintain Power BI data models, including star schemas, fact/dimension tables, and calculated tables * Develop complex DAX measures for ...

AI/ML - Data Engineer Role

Sunnyvale, CA · On-site

$133K - $160K/yr

Build processes that support data transformation, workload management, data structures, dependency and metadata * Perform data validation checks, identify and rectifying errors, and maintaining a ...

Experience in Business Objectives, Data Transformation Services (DTS) /SQL Server Integration Services (SSIS) and 3rd party ETL/ELT tools. * Experience in an open source language such as Python, Java ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

WHAT SUCCESS LOOKS LIKE Pipelines run reliably with high data quality and minimal rework Transformation models are clean, tested, and documented to team standards AI-ready data layers are in place ...

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

... transformations that prepare legal data for AI consumption - chunking, embedding generation, metadata enrichment, and schema normalization • Build upstream and downstream integrations with MCP ...

Senior Data Engineer

Beverly Hills, CA · On-site

$122K - $166K/yr

Design, build, and maintain scalable, production-grade data pipelines and transformation frameworks using Snowflake and dbt. * Lead data modeling efforts to support reporting, analytics, and business ...

Showing results 41-60

Data Transformation information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data transformation jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data transformation in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data transformation position, and why are they important?

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

What are the typical daily responsibilities of someone in a data transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

What is a data transformation?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the most commonly searched types of Data Transformation jobs in California? The most popular types of Data Transformation jobs in California are:
What job categories do people searching Data Transformation jobs in California look for? The top searched job categories for Data Transformation jobs in California are:
Infographic showing various Data Transformation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

$34.47 - $38.46/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 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