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Data Profiling Jobs (NOW HIRING)

Goldman Edwards, Inc.

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Data Profiling & Migration Consultant (Hybrid)

Rockville, MD · On-site

Data Profiling & Migration Consultant Introduction As a Data Profiling & Migration Consultant, you will play a crucial role in supporting a statewide ERP implementation project. Your main ...

Cliff Services Inc

Data Analyst

Atlanta, GA · On-site

The Data Analyst is responsible for analyzing, sourcing, profiling, and validating data required for banking regulatory reporting solutions, including Axiom reporting platforms and reports such as ...

Collabera

Data Analyst

Newark, DE

Execute data profiling and data quality testing and reporting tasks as assigned * Help execute the firm wide data vision and strategy as pertains to all Data Profiling, and Data Quality Testing and ...

Sonsoft Inc

Data Profiler/Analysis

Baltimore, MD

Data Profiling analysis * Completeness Analysis * Uniqueness Analysis * Values Distribution Analysis * Range Analysis * Pattern Analysis * Liaising with Functional team to gather Functional design ...

Sonsoft Inc

Data Profiler/Analysis

Baltimore, MD

Data Profiling analysis * Completeness Analysis * Uniqueness Analysis * Values Distribution Analysis * Range Analysis * Pattern Analysis * Liaising with Functional team to gather Functional design ...

Sonsoft Inc

Data Profiler/Analysis

Baltimore, MD

Data Profiling analysis * Completeness Analysis * Uniqueness Analysis * Values Distribution Analysis * Range Analysis * Pattern Analysis * Liaising with Functional team to gather Functional design ...

PROLIM Global Corporation

Data Modeller

Plano, TX · On-site

Perform data profiling, analysis, and quality assessment to ensure data integrity and consistency. * Develop and optimize ETL / data integration processes to move and transform data between systems.

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Data Profiling information

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$34K

$82.6K

$136K

How much do data profiling jobs pay per year?

As of Aug 5, 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.

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.
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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Profiling & Migration Consultant (Hybrid)

Goldman Edwards, Inc.

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

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Job description

Data Profiling & Migration Consultant

Introduction

As a Data Profiling & Migration Consultant, you will play a crucial role in supporting a statewide ERP implementation project. Your main responsibilities will include developing a financial data strategy, assessing current financial and related data, developing data migration plans, and establishing data governance practices. You will focus on data profiling and migration activities to ensure the success of this digital modernization effort.

Responsibilities

  • Participate in data discovery and assessment activities to determine current data quality, capabilities, and implications on organizational operations
  • Execute data profiling activities and interpret results using tools like Celonis
  • Support data engineering activities to map and transform data for ingestion into Celonis
  • Assist in developing a data migration plan for the ERP system
  • Coordinate with the broader data team, including the data strategy workstream

Requirements

  • Bachelors Degree
  • Data management experience (data profiling, data modeling, data engineering)
  • Hands-on experience with SQL or other data analysis tools
  • Ability to obtain clearance
  • Strong communication skills
  • Ability to collaborate effectively in a virtual team environment

Company Description

Goldman Edwards is a leader in the application of systems engineering across a wide array of large-scale system development and mission critical programs used by government and industry. We provide world-class talent, proven management, and technical processes to manage the most complex projects—from concept through deployment.