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Data Profiling Jobs (NOW HIRING)

Data Engineer

Appleton, WI

$109K - $130.90K/yr

Data Profiling: Analyze structured, unstructured, and semi-structured data to determine the best methods for profiling and ingestion. * Ownership: Take full ownership of data sources and datasets ...

Data Engineer

Montgomery, AL

$113.30K - $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 ...

New

Expert in SQL for Data Analysis, Data Profiling, Data Manipulation, Data Validation and Reporting * Must be able to understand the business process to analyze the data by wiring SQL queries and ...

Expert in SQL for Data Analysis, Data Profiling, Data Manipulation, Data Validation and Reporting * STM (Source to Target Mapping) document Required Skills: * 7+ years of Data Analytics/Analyst ...

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.

Runs standard and ad-hoc data profiling for domain, facilitating data clean-up, readiness. * Roots down quality issues in the data domain. * Proactive analysis of data regarding quality issues (data ...

Data Architect

Philadelphia, PA

$64.25 - $82.75/hr

This role requires extensive SQL experience in writing complex queries across multiple tables, data analysis and profiling skills for the creation of the mapping documents and further discussion with ...

Data Architect

Philadelphia, PA

$64.25 - $82.75/hr

This role requires extensive SQL experience in writing complex queries across multiple tables, data analysis and profiling skills for the creation of the mapping documents and further discussion with ...

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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 3, 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 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 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 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 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.

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:
Data Engineer

$109K - $130.90K/yr

Other

Posted 21 days ago


Job description

Job Title: Data Engineer
Location: Appleton, WI
Job Description
  • Must have: PySpark, Python Databricks

Job Description:
We are building out an Enterprise Data Platform (EDP) entirely on the cloud, utilizing Databricks on AWS. The project involves two teams focused on data ingestion, with a framework already established using Python and Spark for processing. The platform leverages DBT for data modeling. Our goal is to enhance data transformation capabilities while maintaining high standards for testing and data quality.
Key Responsibilities:
  • Lead Data Ingestion: Oversee and guide the data ingestion process, ensuring efficient and accurate data integration.
  • Mentorship: Mentor junior engineers, promoting engineering excellence and improving delivery processes.
  • Data Expertise: Utilize extensive knowledge of various data structures (Oracle, DB2, Mainframe, MongoDB, DynamoDB) to optimize data ingestion and transformation.
  • Data Profiling: Analyze structured, unstructured, and semi-structured data to determine the best methods for profiling and ingestion.
  • Ownership: Take full ownership of data sources and datasets, determining the best methods for ingestion and understanding the data thoroughly.
  • Collaboration: Work closely with staff engineers and other team members to schedule and conduct interviews, ensuring a collaborative and proactive work environment.

Required Skills and Experience:
  • Technical Proficiency: Strong experience with Databricks, AWS, Python, Spark, and DBT.
  • Cloud Migration: Proven track record in cloud migration projects, particularly moving on-premises systems to the cloud.
  • Data Modeling: Expertise in data modeling and transformation, with a focus on the Medallion architecture.
  • Leadership: Demonstrated ability to lead teams, mentor junior engineers, and drive engineering excellence.
  • Data Structures: In-depth knowledge of various data structures, including Oracle, DB2, Mainframe, MongoDB, and DynamoDB.
  • Data Profiling: Experience with profiling structured, unstructured, and semi-structured data to optimize ingestion processes.
  • Soft Skills: Accountable, collaborative, and proactive, with strong communication and interpersonal skills.

Interview Process:
  • Round 1: Technical interview with staff engineers.

HonorVet Technologies logo

About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015