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Data Profiling Jobs in California (NOW HIRING)

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging. * Technology Strategy: Ability to articulate the trade-offs between RDBMS, MPP ...

City National Bank

Data Senior Analyst

Los Angeles, CA · On-site

$87K - $153K/yr

Conduct and leads data profiling and data preparation by identifying gaps and qualifying data. * Validates data by verifying against requirements and success criteria. * Confirms understanding of ...

Nastech Global

Technical Lead

Newport Beach, CA · On-site

Strong SQL and data profiling; experience with Oracle/SQL Server/PostgreSQL/DB2/Snowflake. * Familiarity with APM/monitoring, REST APIs, scripting (Python/Shell/Groovy), and Git/CI-CD (Jenkins/Azure ...

VSP Vision

Senior Business Data Analyst

Rancho Cordova, CA · On-site +1

$63K - $108K/yr

... profiling, data quality remediation and data cleansing Maintains high standards and adheres to all enterprise policies and guidelines regarding data security and privacy, data management, data ...

Cotality

Professional, Data Quality

Irvine, CA · On-site

Experience with data profiling, cleansing, and validation methodologies required. * Familiarity with SQL and data manipulation languages required. * Strong analytical and problem-solving skills with ...

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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 Aug 12, 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 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 data profiling software as part of data management tasks.
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 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Governance Analyst V

AllSTEM Connections

San Francisco, CA • On-site

$151K - $203K/yr

Temporary

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

Job Title: Senior Data Governance & Stewardship Analyst
Role Overview
We are seeking a Senior Data Governance & Stewardship Analyst to join our enterprise data management team. You will be the primary engine behind our data quality and metadata initiatives, working to transform raw data into a reliable, trusted enterprise asset.
In this role, you will bridge the gap between business intent and technical reality. You will be responsible for defining metadata, identifying the root causes of data quality issues, and executing the remediation plans that ensure our data meets the highest standards of maturity. If you are an analytical, process-oriented professional who enjoys "cleaning up" complex environments and building sustainable governance frameworks, this is an ideal role for you.
Key Responsibilities
Stewardship & Metadata Management
• Metadata Lifecycle: Define, document, and maintain business definitions, data attributes, and enterprise standards. Ensure that our data dictionary remains accurate and reflects the actual usage of data across the business.
• Quality Assurance: Review and validate data profiling results. Use these insights to proactively identify "data pain points" and determine their root causes.
• Remediation Planning: Plan and execute approved data quality remediation activities. Monitor the effectiveness of these fixes to ensure they are sustainable.
Business & Technical Collaboration
• Business Context: Provide essential context regarding dataset usage-explaining how data is created, consumed, and where dependencies exist across our enterprise systems.
• Technical Integration: Partner with System Owners and Technical Stewards to validate data lineage, ensure system behavior matches business expectations, and guarantee that metadata rules are embedded into our architecture.
• Risk Management: Act as the primary escalation point for risks or gaps that could prevent datasets from achieving "required maturity." Maintain oversight of the project's control readiness.
Qualifications & Requirements
Minimum Qualifications
• Experience Baseline: Minimum of five (5) years of professional experience in data governance, data stewardship, or advanced data analysis.
• Stewardship Mastery: Deep understanding of metadata management and the lifecycle of data within large, complex organizations.
• Analytical Ability: Proven track record of identifying data quality "bottlenecks," performing root-cause analysis, and managing technical remediation workflows.
• Collaboration: Strong interpersonal skills-you must be comfortable working in a matrixed environment and influencing stakeholders without direct authority.
Preferred Attributes
• Experience with enterprise data governance tooling (e.g., Collibra, Informatica, Alation, or similar).
• Proven experience supporting "Control Readiness" or audit-compliant data frameworks.
• Ability to work independently in a remote environment while maintaining high-frequency engagement with internal business partners.
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA

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