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Data Transformation Jobs in California (NOW HIRING)

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data ...

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data ...

ClifyX

Data Modeler with MISMO experience

Westlake Village, CA · On-site

$57.50 - $74.50/hr

... data transformation, validation, and analysis. • Work with semi-structured data (JSON) for ingestion, parsing, and transformation. • Collaborate closely with Product Owners, data engineers ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing. Responsibilities * Lead and support the delivery of data platform ...

Prophecy Technologies

Data Architect

San Leandro, CA · On-site

$72 - $92.75/hr

Snowflake architecture (virtual warehouses, snowpipe, clustering keys), data modeling (Inmon, Kimball, Data Vault 2.0), cloud security governance, dbt for data transformation and legacy system ...

Diverse Lynx

Lead Python Data Engineer

Irvine, CA · On-site

The role involves hands-on experience in Python data engineering and requires expertise in AWS and data transformation, with a focus on working closely with clients to gather requirements and develop ...

MSR Cosmos

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/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 ...

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All JobsData Transformation JobsData Transformation Jobs in California

Data Transformation information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data transformation jobs pay per year?

As of Jul 29, 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 is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Science, or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, along with extensive experience and relevant certifications.

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 the role of data transformation?

The role of data transformation in data transformation jobs involves converting data from its original format into a suitable format for analysis, storage, or processing. This process includes tasks like cleaning, normalizing, and structuring data using tools such as ETL (Extract, Transform, Load) processes and scripting languages. Data transformation ensures data quality and consistency for effective decision-making and reporting.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge that AI tools currently cannot replicate. Skills in data visualization, statistical analysis, and understanding business context remain critical in this field.

Is 40 too late for data science?

Data transformation roles in data science often value skills and experience over age, and many professionals transition into the field later in life. Learning relevant tools like SQL, Python, and data visualization, along with building a portfolio, can help late entrants succeed regardless of age.

What is a Data Transformation job?

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 are popular job titles related to Data Transformation jobs in California? For Data Transformation jobs in California, the most frequently searched job titles 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:
Data Transformation jobs near you
Infographic showing various Data Transformation job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.