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Data Profiling Jobs in California (NOW HIRING)

Staffingine LLC

Data Testing Manager

Irvine, CA · On-site

Expertise in data quality frameworks, data profiling, and data validation techniques. * Hands-on experience with data standardization, including address standardization and enrichment. * Familiarity ...

Deegit Inc

Data Analyst

San Diego, CA · On-site

Carlsbad, CA Duration: 6 Months • Strong data analysis and data profiling skills • Strong Conceptual, Logical and Physical data modeling for VLDB Data warehouse • Hands on experience with ...

Atria Group LLC

Data Analyst

San Francisco, CA · On-site

... Profiling and Data Analysis 3) Good amount of experience with SQL / Oracle 4) Health care claims data knowledge (Good To have) 5) Health care or Life science domain knowledge is Must Additional ...

OSTechnical

Be Seen First

Master Data Manager

Anaheim, CA · On-site

$150K - $190K/yr

Implement data profiling, monitoring, and remediation processes * Lead root cause analysis for recurring data issues * Own selection, implementation, and optimization of MDM platforms/tools * Define ...

IEHP

Data Governance Analyst

Rancho Cucamonga, CA · On-site

... data profiling, data quality assessment, and root cause analysis • Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau, etc.) • Ability to multi-task while maintaining ...

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All JobsData Profiling JobsData Profiling Jobs in California

Data Profiling information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data profiling jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data profiling in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is data profiling?

Data profiling is the process of examining, analyzing, and summarizing data from existing sources to understand its structure, content, and quality. It helps organizations identify inconsistencies, errors, and patterns within their data, which is crucial for data quality initiatives, data migration projects, and business intelligence tasks. Data profiling typically involves assessing data types, frequency, uniqueness, and relationships among data elements. The insights gained enable better data management, improved decision-making, and more efficient data integration.

What are some typical challenges faced in a data profiling role and how can they be addressed?

Professionals in data profiling often encounter challenges such as dealing with incomplete, inconsistent, or poor-quality data from various sources. Addressing these issues requires strong analytical skills, attention to detail, and the use of specialized data profiling tools to identify anomalies and patterns. Collaborating closely with data engineers, business analysts, and stakeholders is essential to communicate findings and recommend improvements, ensuring data quality for downstream processes. Regularly updating profiling techniques and staying current with industry best practices also helps in overcoming evolving data challenges.

What are the key skills and qualifications needed to thrive as a data profiling specialist, and why are they important?

To thrive as a Data Profiling Specialist, you need a solid understanding of data analysis, data quality assessment, and database management, often supported by a degree in computer science or a related field. Familiarity with profiling tools such as Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and data visualization software, is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret results and convey findings to stakeholders. These skills and qualities are crucial for ensuring data accuracy, driving informed business decisions, and improving overall data governance.

What is the difference between Data Profiling vs Data Analyst?

AspectData ProfilingData Analyst
Primary FocusAnalyzing data for quality, structure, and patternsInterpreting data to generate insights and reports
Skills RequiredData analysis, SQL, data quality toolsData analysis, visualization, statistical skills
Work EnvironmentData warehouses, ETL processes, data governanceBusiness intelligence tools, dashboards, reporting platforms
CertificationsData quality certifications, SQL certificationsData analysis certifications, Tableau, Excel

Data Profiling primarily involves examining data sets to assess quality and structure, often as a preliminary step in data management. Data Analysts focus on interpreting data to provide actionable insights and support decision-making. While both roles require analytical skills and familiarity with data tools, Data Profiling emphasizes data quality and structure, whereas Data Analysts concentrate on analysis and reporting.

What does a data profiling do?

A data profiling professional analyzes data sets to assess their quality, structure, and content, identifying inconsistencies, missing values, and patterns. This process helps ensure data accuracy and readiness for analysis or integration, often using tools like SQL or specialized data profiling software. Strong attention to detail and understanding of data management are essential skills for this role.

What are popular job titles related to Data Profiling jobs in California?

For Data Profiling jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Profiling jobs in California look for?

The top searched job categories for Data Profiling jobs in California are:

Data Profiling jobs near you
Infographic showing various Data Profiling job openings in California as of August 2026, with employment types broken down into 69% Full Time, 10% Part Time, 2% Temporary, and 19% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst with Data Profiling

PamTen Inc

Sunnyvale, CA • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
PamTen Inc is seeking a Data Analyst with Data Profiling to support business capabilities through effective data management and analysis. The role involves documenting reporting requirements, performing data profiling, and ensuring data quality while collaborating with stakeholders.
Responsibilities:
• Document reporting requirements for business capability build on functional and reporting tools
• Perform data profiling and availability analysis working with SMEs and business representatives to understand current data
• Create, define and document data integration, migration, and transformation requirements, along with current-to-future state mapping and non-functional requirements, where required
• Evaluate the quality of the data, identify and interpret trends or patterns in data sets
• Document data quality rules for key attributes and work with data quality analysts and business stakeholders on improving quality
• Facilitate data harmonization conversations with global business stakeholders
• Participate and support business stakeholders in data governance discussions for key data attributes
• Ability to create Tableau dashboards
• Excellent verbal and written communication to clearly present data insights and collaborate effectively with teams
• Maintain data dictionary and business glossary for their data domains
• Meticulous attention to detail
• Participate in data testing and validation
Qualifications:
Required:
• Document reporting requirements for business capability build on functional and reporting tools
• Perform data profiling and availability analysis working with SMEs and business representatives to understand current data
• Create, define and document data integration, migration, and transformation requirements, along with current-to-future state mapping and non-functional requirements, where required
• Evaluate the quality of the data, identify and interpret trends or patterns in data sets
• Document data quality rules for key attributes and work with data quality analysts and business stakeholders on improving quality
• Facilitate data harmonization conversations with global business stakeholders
• Participate and support business stakeholders in data governance discussions for key data attributes
• Ability to create Tableau dashboards
• Excellent verbal and written communication to clearly present data insights and collaborate effectively with teams
• Maintain data dictionary and business glossary for their data domains
• Meticulous attention to detail
• Participate in data testing and validation
Company:
PAMTEN is established in the year 2007 as a technology services company, and a Women Owned Business Enterprise registered in New Jersey. Founded in 2007, the company is headquartered in Princeton, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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