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Data Profiling Jobs (NOW HIRING)

TMS

Enterprise Data Modeler

Richmond, VA · On-site

$54.25 - $70.25/hr

Perform data profiling/analysis activities that helps to establish, modify and maintain data model. * Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

Conduct data profiling and data quality assessments. * Support data governance initiatives by documenting data lineage and business definitions. * Prepare reports, dashboards, and analytical insights ...

KE Staffing

Senior Mortgage Data/Business Analyst

Mclean, VA · On-site

$88K - $111K/yr

Skills Needed: +7 years in BA supporting enterprise data, analytics, or technology transformation projects. +7 years with data lineage, data profiling, data mapping, business process analysis, and ...

New

Inteliblue LLC

Data Warehouse/BI Developer 3

Richmond, VA · On-site

$48.75 - $66.75/hr

Phone/In-Person Duration: Long Term Data profiling - Analyze and understand source systems to determine data availability, quality, and extraction logic. Data modeling - Design dimensional models and ...

USM

Database Analyst

Tallahassee, FL

Data profiling strategy for CCH data Data profile plan, activities and artifacts Data cleansing strategy Detailed data cleansing processes/routines/programs/scripts SOW 16-17-045 Page 3 Comprehensive ...

R3 Tek

Data Analyst

Detroit, MI

$45/hr

Develop solutions and recommendations for improving data integrity issues, establish data profiling and preventative procedures to improve data quality. * Assist in the coaching and training of ...

Staffingine LLC

Data Testing Manager

Irvine, CA · On-site

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

USM

Urgent Need Database Analyst

Tallahassee, FL

Data profiling strategy for CCH data Data profile plan, activities and artifacts Data cleansing strategy Detailed data cleansing processes/routines/programs/scripts SOW 16-17-045 Page 3 Comprehensive ...

vTech Solution

Data Quality Engineer

Montgomery, AL · 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 ...

HealthEdge

Data Conversion Lead

Analyze healthcare payer data patterns, perform data profiling, and define transformation and mapping rules required to migrate data from source to target platform. * Design and execute a phased ...

Palnar

Enterprise Data Modeler

Richmond, VA · On-site

$54.25 - $70.50/hr

Perform data profiling/analysis activities that helps to establish, modify and maintain data model. * Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.

HealthEdge

Data Conversion Lead

Analyze healthcare payer data patterns, perform data profiling, and define transformation and mapping rules required to migrate data from source to target platform. * Design and execute a phased ...

Sarian Solutions

Sr. Data Modeler

Charlotte, NC · On-site

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 ...

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All JobsData Profiling Jobs

Data Profiling information

See salary details

$34K

$82.6K

$136K

How much do data profiling jobs pay per year?

As of Jul 16, 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 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.
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:
What job categories do people searching Data Profiling jobs look for? The top searched job categories for Data Profiling jobs are:
Data Profiling jobs near you
Infographic showing various Data Profiling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Enterprise Data Modeler

Enterprise Data Modeler

TMS

Richmond, VA • On-site

$54.25 - $70.25/hr

Contractor

Re-posted 26 days ago

Job description

*Local Richmond, VA candidates required
*Candidate will be required to interview ONSITE - Mandatory
*Candidate will be required to work ONSITE 2-3 days/wk
*Contract may be extended annually beyond June 30, 2026
*Contractor will be responsible for purchasing parking at Client Site
Job Description: Enterprise Data Modeler
The Client is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support Cleint. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows. Develop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Maintain logical and physical data models along with accurate metadata.

Responsibilities:
  • Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.
  • Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.
  • Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model.
  • Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture.
  • Perform data profiling/analysis activities that helps to establish, modify and maintain data model.
  • Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.
  • Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.
  • Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solution Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.
  • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.
  • Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.
  • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
  • Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.· Ensure that data strategies and architectures are in regulatory compliance.
  • Good knowledge of applicable data privacy practices and laws.
  • Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language.
  • Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks
Required/Desired SkillsSkillRequired /DesiredAmountof ExperienceCreate conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.Required10YearsTranslate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.Required10YearsPresent and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect thRequired10YearsDevelop canonical models, Data as a service models and Knowledge of SOA to support integrations.Required10YearsPerform data profiling/analysis activities that helps to establish, modify and maintain data modelRequired10YearsAnalyze data-related system integration challenges and propose appropriate solutions with strategic approach.Required10YearsPerform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solRequired10YearsImplement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.Required10YearsEstablish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validityRequired10YearsEstablish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.Required10YearsConduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.Required10Years