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Data Profiling Jobs in California (NOW HIRING)

Herbalife

Data Engineer III

Torrance, CA

$120K - $144K/yr

Proficiency in data integrity, profiling and storage and mining techniques. Proficiency in change data capture techniques including timestamp, log and trigger-based mechanisms. Experience in working ...

RecruitTalent LLC.

$65 - $75/hr

Skilled in generating comprehensive data profiling reports that effectively summarize findings and provide actionable recommendations for remediation. Strong analytical mindset combined with a detail ...

Deloitte

SAP BODS/Data Conversion Consultant

Los Angeles, CA · On-site

$72 - $93.75/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

SolGenie

Data Migration Engineer - Hybrid Role

San Jose, CA · On-site

$134K - $161K/yr

He should also have strong experience in data profiling, data integration, transformations, understanding how data impacts downstream systems like Sales and Finance data warehouses/data lakes ...

Deloitte

SAP BODS/Data Conversion Consultant

Sacramento, CA · On-site

$71.25 - $92.75/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Deloitte

SAP BODS/Data Conversion Consultant

San Francisco, CA · On-site

$78.75 - $102.50/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Deloitte

SAP BODS/Data Conversion Consultant

Inglewood, CA · On-site

$69.50 - $90.50/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Deloitte

SAP BODS/Data Conversion Consultant

Costa Mesa, CA · On-site

$71.50 - $93.25/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Deloitte

SAP BODS/Data Conversion Consultant

Fresno, CA · On-site

$66.25 - $86.50/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Deloitte

SAP BODS/Data Conversion Consultant

Monterey, CA · On-site

$74 - $96.50/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Deloitte

SAP BODS/Data Conversion Consultant

San Jose, CA · On-site

$78.25 - $102/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Deloitte

SAP BODS/Data Conversion Consultant

San Diego, CA

$70.75 - $92.25/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Concord IT Systems

Sr. Data Architect - PLM

San Jose, CA · On-site

$78.75 - $105.50/hr

Performs data warehousing modelling, designs data integrations, interfaces, data profiling rules and troubleshoots incidents on supported databases and solutions. Responsible for charting solution ...

Herbalife

Data Engineer III

Torrance, CA · On-site

$120K - $144K/yr

... profiling, prediction, forecasting, clustering. • Develop a collaborative environment that encourages the exchange of ideas. QUALIFICATIONS FOR SUCCESS: • Expert proficiency in building data ...

CYNET SYSTEMS

Supply Chain Management Data Lead

Oakland, CA · On-site

$170K - $173K/yr

Identify areas requiring data profiling and cleansing. * Identify data requirements related to reporting and analytics to be designed. * Identify and engage key stakeholders from various functional ...

Axos Bank

JBATA - Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

... data profiling tasks to provide support and recommendations for development and design decisions • Develop solutions adhering to software development lifecycle (SDLC) on a cross-platform team ...

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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 Jul 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.

Is 40 too late for data science?

Data profiling is a key skill in data science, and individuals can enter the field at any age with relevant skills such as SQL, Python, and data analysis. Many professionals successfully transition into data science later in their careers by gaining certifications and practical experience, making age less of a barrier than skill development and continuous learning.

Does the FBI hire data analysts?

Yes, the FBI employs data analysts to support investigations, intelligence analysis, and operational decision-making. These roles often require strong analytical skills, knowledge of data management tools, and security clearances, with positions available through federal hiring processes.

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 profiler do?

A data profiler analyzes datasets to assess their quality, structure, and content, identifying issues such as missing values, inconsistencies, or anomalies. This process helps ensure data accuracy and readiness for analysis or integration, often using tools like SQL, Python, or specialized data profiling software.

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.

Is data analysis a well-paid job?

Data profiling is a specialized data analysis role that often offers competitive salaries, especially for professionals with skills in SQL, data management, and tools like Python or R. Compensation varies by industry, experience, and location, but data analysis roles generally provide good pay compared to many other entry-level positions.
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
Data Engineer III

Data Engineer III

Herbalife

Torrance, CA

$120K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Overview

THE ROLE:  

The Data Engineer role is responsible for data modelling, design, optimization, security and administration of ETL/ELT tools and data engineering interfaces. The role will be responsible for building data interfaces focusing on data accuracy, completeness and availability. The role will analyze source and target systems design, build and test solutions to make data available Business intelligence systems, websites mobile apps and other applications.

HOW YOU WOULD CONTRIBUTE: 

   Design, Build, Test and migrate ETL/ELT systems and data interfaces   Analyze and design source and target systems data architectures   Design and implement data tables, functions, views, procedures and routines to provide accurate and complete data to BI and data applications.   Identify opportunities for technical innovation that add value to the platform.   Assist in establishing and embedding data management and governance processes.   Enhance performance in the Applications environment.    Meet service level agreements for production support response and resolution.   Research, Design and Develop technical solutions to a pre-defined requirement and develop components including extensions, views, customizations, modifications, reports, and workflows independently or as a part of a team.   Follow documentation, software development methodology, version control and testing, and migration standards.   Develop and improve the current data architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility.   Provide technical guidance and mentoring to others in areas of expertise.   Deploy and use various technologies and run pilots to design low latency data architectures at scale   Collaborate with BI teams, business analysts, product managers, and application teams to provide data for BI, web, mobile applications   Collaborate with business analysts, data scientists, product managers, and BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering.   Develop a collaborative environment that encourages the exchange of ideas.   

Qualifications

QUALIFICATIONS FOR SUCCESS:

   Expert proficiency in building data pipelines and ETL/ELT using tools such as Informatica, ODI, Azure Data Factory etc.    Experience in administration and migration activities of data movement and transformation tools.    Expert knowledge in advanced SQL, stored procedures, views, functions, indexes, etc.   Expert knowledge of Entity Relationship Diagrams.   Expert knowledge of data modeling techniques (type 1,2,3,4), dimensions, facts and aggregations.    Proficiency in relational and non-relational databases such as OLTP, MPP appliances, NoSQL, DaaS, Cloud etc.   Proficiency in data movement techniques such as replication, switching, pipelines etc.   Proficiency in data integrity, profiling and storage and mining techniques.   Proficiency in change data capture techniques including timestamp, log and trigger-based mechanisms.   Experience in working with different types of large and small sets of data; structured, semi structured and unstructured.   Proficiency in working with scheduling tools.   Proficiency in working with change management tools and processes include source control, versioning, defect tracking and release management.   Proficiency in analyzing impact of smaller and large-scale initiatives.    Good working knowledge of Unix/Linux/PowerShell scripting.   Manage multiple priorities.   Excellent written and verbal communication skills.

Experience:

   5+ year's experience in working with data in a data mart, warehousing, OLTP environment.    5+ year's experience working with ETL/ELT and data movement tools.

Education required:   Bachelor's in information technology, computer science or related field 

US Benefits StatementHerbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.Employment Type: FULL_TIME

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