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Data Transformation Jobs in California (NOW HIRING)

Keylent

Data Architect_Irvine, CA

Irvine, CA · On-site

$68.50 - $88/hr

Key Responsibilities Program Leadership & Governance Lead the Data Tower within enterprise-wide EDO transformation programs. Define and execute data strategy aligned with business and technology ...

Horizon Surgical Systems, Inc.

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Write and optimize SQL for data transformation, modeling, and quality validation across the data platform. * Develop Python-based tooling and automation to support data ingestion, transformation, and ...

Horizon Surgical Systems, Inc.

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Write and optimize SQL for data transformation, modeling, and quality validation across the data platform. * Develop Python-based tooling and automation to support data ingestion, transformation, and ...

Qualitest Group

Data Quality Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

Verify data movement and transformation between on-premises and Azure-based data sources. * Partner with Data Engineers, Product Owners, Architects, Business Analysts, and external delivery partners ...

IDEX

Data Analyst, Finance

Rohnert Park, CA · On-site +1

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

DPP Tech, Inc.

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Hands-on experience with DBT (Data Build Tool) for data transformation. * Experience building scalable ETL/ELT pipelines. * Knowledge of data modeling, data warehousing, and dimensional modeling.

Apple

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

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

Pediatric Associates

Sr Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

This role focuses on hands-on development of data pipelines, data models, and transformation logic to ensure high-quality, accessible, and well-structured data for analytical and operational use ...

Prophecy Technologies

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

This role focuses on comprehensive data management, from strategy and source identification to transformation, modeling, and governance. The Data Engineer will be responsible for developing data ...

Prophecy Technologies

Data Architect

Sunnyvale, CA · On-site

$74.75 - $96.25/hr

This role is centered around comprehensive data management, encompassing strategy, transformation, integration, modeling, and governance. The individual will be instrumental in applying data strategy ...

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Showing results 21-40

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 Aug 7, 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 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 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, with an average salary of $162,857 per year, or $78.3 per hour.

Data Architect_Irvine, CA

Keylent

Irvine, CA • On-site

$68.50 - $88/hr

Other

Posted 4 days ago

Job description

Data Architect

 Location : Irving CA 
 
Must Have Technical/Functional Skills
Data Bricks, EBT Airflow, Asset Management exp
Roles & Responsibilities
We are seeking a highly experienced EDO (Enterprise Data Office) Program Level Tower Lead to drive large-scale enterprise data transformation initiatives within the Asset Management domain.
The ideal candidate will possess strong leadership capabilities with deep expertise in Databricks, dbt, Azure, AWS, Data Governance, Data Engineering, and Modern Data Platforms.
The role requires ownership of end-to-end delivery of the Data Tower, including strategy. architecture, execution, stakeholder management, governance, and program oversight across multiple workstreams supporting investment, operations, risk, compliance, and client reporting functions.
Key Responsibilities
Program Leadership & Governance
Lead the Data Tower within enterprise-wide EDO transformation programs.
Define and execute data strategy aligned with business and technology objectives.
Manage multiple delivery teams across data engineering, analytics, governance, and cloud platforms.
Drive program planning, budgeting, resource management, and delivery governance.
Establish KPis, SLAs, risk management frameworks, and program health reporting.
Present program status and strategic recommendations to C-level stakeholders.
Data Platform & Architecture Leadership
Lead the design and implementation of modern data platforms leveraging:
Databricks Lakehouse Architecture
Azure Data Platform
AWS Data Services
DBT Transformation Framework
Define scalable architecture patterns for batch, streaming, and real-time analytics workloads.
Establish enterprise data standards, best practices, and reusable frameworks.
Asset Management Domain Enablement
• Drive data initiatives supporting:
Portfolio Management
Investment Research
Trading & Order Management
Performance & Attribution
Risk Analytics
Compliance & Regulatory Reporting
Client Reporting
Security Master & Reference Data Management
Collaborate with business stakeholders to define data products and business capabilities.
Data Engineering Leadership
Lead development of enterprise-grade data pipelines using Databricks and cloud-native technologies.
Define ELT/ETL frameworks utilizing dbt and modern data engineering methodologies.
Ensure high-quality delivery through automation, CI/CD, testing, and observability practices.
Optimize data processing costs and performance across cloud environments.
Key Words to search in Resume
• Databricks
• DBT
• Azure
• AWS
• Data Governance & Engineering
• Asset Management Domain expertise

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About Keylent

Sourced by ZipRecruiter

Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2010

Social media

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