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Data Profiling Jobs in California (NOW HIRING)

Data Architect

Milpitas, CA · On-site

$72.75 - $93.50/hr

A strong understanding of data profiling and data cleansing techniques * Proven track record driving rapid prototyping and designs * Strong programming background. Experience with and the ability to ...

... 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 ...

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

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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.
Data Governance Data Analyst

Data Governance Data Analyst

Syntricate Technologies

San Jose, CA • On-site

Other

Posted 16 days ago


Job description

Position-Data Governance Data Analyst
Duration-Contract
Location- San Jose, CA
JD
  • As a Governance Analyst reporting to the newly created Digital Asset Governance org, you will work with a broad range of stewards and stakeholders to create and maintain our digital asset catalog, perform analysis and tests to ensure compliance with key readiness requirements, and help drive forward our Digital Asset Governance program.
  • The ideal candidate has some experience in data management, data governance or data analysis.
  • You will be working with Product Owners, engineers and other data management professionals to drive data governance at Adobe. Additionally, you will execute on our roadmap to implement our enterprise digital asset governance framework, stewardship and quality for various data domains - Sales, Customer Experience, Product usage data etc.
  • Move away from a reactive to proactive data governance across the enterprise in managing data quality, privacy, security, and usage.
  • Data Analytics & Insights : ignio AIOps

Essential Skills -
  • Has hands on experience in data quality, data profiling and other data analysis.
  • Good understanding of data issues that impact user experience and remediations that needs to be applied to fix data issues, via Business processes and technical capabilities•
  • Relationship-driven with ability to interact with a wide range of individuals.
  • Demonstrated track record in leading cross-functional teams in a matrix organization.•
  • Familiarity with a variety of public and private cloud technologies, application/operation security, information security, as well as software development standard methodologies.•
  • Understanding of enterprise business systems architecture • Ability to thrive in a fast-paced environment• Organized with strong attention to detail and effective documentation skills•
  • Communicate on day-to-day activities to required stakeholders
  • Data Governance Data Analyst

Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : 781-552-4333 |
Email : pallavi@syntricatetechnologies.com | Web: www.syntricatetechnologies.com
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