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Data Profiling Jobs in California (NOW HIRING)

City National Bank

Senior Data Analyst (SQL)

Los Angeles, CA · On-site

$92K - $116K/yr

... with data profiling and data analysis. • Experience working and effectively collaborating with reporting, operations and technology teams. • Strong critical thinking ability and problem ...

Diverse Lynx

Informatica -- Data Analyst

San Diego, CA · On-site

... data profiling, validation, and reconciliation to ensure trustworthy outputs. • Interpret and present data insights in a clear, narrative-driven manner, including conversational insights. • ...

Techwave

Conduct data profiling, validation, and reconciliation using Snowflake SQL. * Work with REST API data integrations, including reading API specifications, understanding payloads, and mapping to ...

Adobe

Technical Data Product Manager

San Jose, CA

$124K - $234K/yr

Perform extensive data profiling to determine the best sources and logic to meet business needs * Develop and maintain data models and profiles to unlock the power of data to drive Adobe's business ...

Adobe, Inc.

Technical Data Product Manager

San Jose, CA · On-site

$124K - $234K/yr

Perform extensive data profiling to determine the best sources and logic to meet business needs * Develop and maintain data models and profiles to unlock the power of data to drive Adobe's business ...

CoreWeave

Master Data Specialist

Sunnyvale, CA · On-site

... perform data profiling, quality assessment, and root cause analysis. • Excellent communication and facilitation skills; ability to present complex data concepts to non-technical audiences.

CoreWeave

Master Data Specialist

San Francisco, CA · On-site

... perform data profiling, quality assessment, and root cause analysis. • Excellent communication and facilitation skills; ability to present complex data concepts to non-technical audiences.

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Showing results 1-20

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 Jun 10, 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 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 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 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 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 June 2026, with employment types broken down into 1% Internship, 7% Full Time, 89% Part Time, and 3% Temporary. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Quality Analyst

Rootshell Enterprise Technologies, Inc.

Pleasanton, CA • On-site

Full-time

Posted 5 days ago

Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Quality Analyst for one of our client, Please share your resume with current location & full contact info
Role:Data Quality Analyst
Location:Location: Pleasanton, CA (Onsite)
Job Summary:
QA Strategy and Leadership:
Define and implement robust QA strategies, methodologies, and processes for data engineering projects.
Lead and mentor a team of QA engineers, ensuring alignment with best practices and project goals.
Collaborate with stakeholders to understand data quality requirements and translate them into test plans and cases.
Testing Frameworks and Automation:
Develop and maintain automated testing frameworks for ETL pipelines, data lakes, and data warehouses on Google Cloud Platform, Databricks, and related services.
Design data validation and verification processes to ensure the accuracy and consistency of data across pipelines.
Automate regression, performance, and integration testing to minimize manual efforts.
Data Quality Assurance:
Conduct root cause analysis for data quality issues and drive corrective actions.
Ensure compliance with data governance policies and data security best practices.
Develop data profiling and monitoring dashboards using tools like Google Monitor, Power BI, or custom solutions.
Technical Skills and Qualifications:
GCP Expertise: Proficient in GCP, Dataflow, Big Query, Cloud Composer, and Google Storage services.
Databricks: Experience with Spark-based data engineering workflows, including Delta Lake.
Testing Tools & Frameworks: Strong experience with tools like PyTest, dbt (data build tool), or similar testing frameworks for data pipelines.
SQL and Scripting: Advanced SQL skills for data validation with Python proficiency for automation.
Big Data Knowledge: Knowledge of Big Data processing and distributed computing. Understand the importance of data modelling concepts.
CI/CD: Knowledge of CI/CD pipelines on or GitHub Actions, focusing on data engineering workflows.
Data Governance: Familiarity with data governance tools and concepts such as metadata management, lineage, and data cataloging.
Communication: Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives
Regards,
Naveen
Naveen@rootshellinc.com

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