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Data Profiling Jobs in California (NOW HIRING)

Data Engineer

San Francisco, CA

$134K - $162K/yr

Data Engineer Candidate must be in SFO, CA Long term contract - JD Summary: 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration Hands ...

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

Data Warehouse Specialist

San Ramon, CA · On-site

$19.75 - $25.75/hr

Perform Data profiling, scalability of end-to-end Integration processes, multi-dimensional SQL queries * Provide technical, strategic advice and guidance to Senior Managers and technical resources ...

Data Modeler

Westlake Village, CA · On-site

$57.25 - $74.25/hr

Perform data profiling, analysis, and quality checks to ensure consistency and accuracy. * Support performance tuning, query optimization, and troubleshooting of data-related issues. Required Skills ...

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 ...

... 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 ...

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 ...

Perform deep data analysis using SQL and python and profiling techniques toidentifyanomalies, data gaps, and inconsistencies across source-to-target systems. * Develop andmaintaindata quality metrics ...

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Showing results 1-20

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 9, 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.
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 Engineer

$134K - $162K/yr

Other

Posted 4 days ago


Job description

Data Engineer
Candidate must be in SFO, CA
Long term contract
-
JD
Summary:
10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration
Hands on expert experience in the AWS Data Engineering Tech Stack: S3, Glue, Airflow, SQL, Python, PySpark, Lambda, RDS, Redshift, EMR, and API Gateway
Detailed experience with data modeling and data integration (ETL/ELT)
Data Product knowledge and experience
Role Job Description:-
10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration
Hands on expert experience in the AWS Data Engineering Tech Stack: S3, Glue, Airflow, SQL, Python, PySpark, Lambda, RDS, Redshift, EMR, and API Gateway
Detailed experience with data modeling and data integration (ETL/ELT)
Data Product knowledge and experience
Pharma Commerical and Digital Marketing data experince will be plus
Ability to lead and work through cross-functional teams
Ability to lead and delivery project end to end working with Tech PM
Good communication and teamwork skills