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Data Profiling Jobs (NOW HIRING)

Experience performing data profiling * Experience in Data Mart, Dimensional Modeling, Data Warehouse modeling * Ability to work successfully with technical and non-technical groups, and manage ...

Data Architect

Clark, NJ ยท On-site

$66 - $84.75/hr

Data modeling, physical source data models, data profiling reports, data quality control, data definitions, data taxonomy, data metrics, meta-data, data cleansing services Activities: data modeling ...

Data Quality Engineer

Montgomery, AL ยท On-site

$113K - $136K/yr

Data Profiling & Cleansing: Analyze data to identify anomalies, duplicates, outliers, and missing values; apply cleansing techniques to improve data integrity. * SQL Proficiency: Write complex ...

Experience performing data profiling * Experience in Data Mart, Dimensional Modeling, Data Warehouse modeling * Ability to work successfully with technical and non-technical groups, and manage ...

Data Modeller

Plano, TX ยท On-site

Perform data analysis, data profiling , and identify trends and anomalies in large datasets * Work with AWS cloud services to support data ingestion, processing, and storage * Collaborate with data ...

Data Modeller

Plano, TX ยท On-site

Perform data analysis, data profiling , and identify trends and anomalies in large datasets * Work with AWS cloud services to support data ingestion, processing, and storage * Collaborate with data ...

Conducts data profiling and analysis to assess the quality, completeness, and accuracy of data assets * Implements and monitors data governance processes, including data access controls, data ...

An understanding of data cleansing and profiling * An understanding of data schema, model, and ontology concepts * Experience with Jupyter notebooks or similar AI/ML frameworks. * Good communication ...

Data Modeler (W2)

San Antonio, TX

$49.50 - $64/hr

Data Profiling and discovery tools such as IBM InfoSphere Information Analyzer. Bank Domain Knowledge. Additional Information All your information will be kept confidential according to EEO ...

Data Warehouse Developer

Richmond, VA ยท On-site

$48.75 - $66.75/hr

Data profiling: Analyze and understand source systems to determine data availability, quality, and extraction logic. * Data modeling: Design dimensional models and star schemas to support analytics ...

New

An understanding of data cleansing and profiling * An understanding of data schema, model, and ontology concepts * Experience with Jupyter notebooks or similar AI/ML frameworks. * Good communication ...

An understanding of data cleansing and profiling * An understanding of data schema, model, and ontology concepts * Experience with Jupyter notebooks or similar AI/ML frameworks. * Good communication ...

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Data Profiling information

See salary details

$34K

$82.6K

$136K

How much do data profiling jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data profiling in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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 age is not a barrier to entering the field. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL and Python. Continuous learning and experience are more important than age when pursuing a data science role.

Is AI replacing data analysts?

AI is automating certain tasks within data profiling and analysis, such as data cleaning and pattern recognition, but it does not fully replace data analysts. Data analysts are needed to interpret insights, make strategic decisions, and oversee AI tools, requiring skills in critical thinking, domain knowledge, and data visualization. The role continues to evolve with a focus on combining human expertise with AI capabilities.

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 processing, 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 a data analyst highly paid?

Data analysts are generally well-compensated, with salaries varying based on experience, location, and industry. Professionals with skills in data visualization, SQL, and statistical analysis tend to earn higher salaries, especially in competitive markets or with advanced certifications. Overall, data analysis is considered a lucrative field with strong earning potential.
More about Data Profiling jobs
What cities are hiring for Data Profiling jobs? Cities with the most Data Profiling job openings:
What states have the most Data Profiling jobs? States with the most job openings for Data Profiling jobs include:
Infographic showing various Data Profiling job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Sr. Data Modeler

Sr. Data Modeler

Sarian Solutions Inc

Charlotte, NC โ€ข On-site

Other

Posted 28 days ago


Job description

Sr. Data Modeler

Title: Sr. Data Modeler (ERWIN or Sybase Power Designer)

Location: Charlotte, NC

Type: Full-Time

Required Skills/Experience:

  • Minimum 10 years of experience in design and deployment of logical and physical structures preferably Banking Risk Area (Counterparty Credit Risk Data Domain knowledge)
  • Minimum 5 years of Experience with Erwin data modeling tools
  • Minimum 5 years of Experience with development and deployments MSSQL platform
  • Experience with large, high volume databases is preferred.
  • Experience performing data profiling
  • Experience in Data Mart, Dimensional Modeling, Data Warehouse modeling
  • Ability to work successfully with technical and non-technical groups, and manage multiple tasks at a time
  • Strong analytical, problem-solving and communication skills
  • In-depth understanding of both Relational and Domain Modeling techniques
  • Understanding about BI Reporting

Responsibilities :

  • Translate business and data requirements into Logical data models in support of Enterprise Data Models, OLTP, Operational Data Structures and Analytical systems.
  • Understand database performance factors and trends pertaining to very large database design and collaborate with DBAs to implement mitigating physical modeling solutions.
  • Perform source data analysis, data discovery and data profiling.
  • Provide data structures optimized for information entry and retrieval.
  • Effectively communicate data design to other members of the team to ensure proper implementation and utilization of the data structures.
  • Support development team during design process design and during performance tuning.
  • Participate in both business & IT planning and in the development & management of project plans.
  • Lead design of Logical and Physical Models
  • Support ongoing data modeling efforts for Development and Production environments
  • Contribute to development of processes and guidelines for Data Modeling