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Data Cleansing Jobs in Tennessee (NOW HIRING)

CereCore

Data Engineer

Nashville, TN

$110K - $132K/yr

Specific expertise/experience in data acquisition, data cleansing, parsing, validation, reconciliation, lineage, and documentation required. * Specific expertise/experience in data analysis, modeling ...

HealthTrust

Senior Financial Analyst

Lebanon, TN · On-site

This includes data cleansing, analyzing spend data and vendor proposals, creating financial analyses, and summarizing and effectively communicating the financial results of the analyses. What will ...

HealthTrust

Senior Financial Analyst

Franklin, TN · On-site

This includes data cleansing, analyzing spend data and vendor proposals, creating financial analyses, and summarizing and effectively communicating the financial results of the analyses. What will ...

RXinsider LTD.

Senior Financial Analyst

Nashville, TN · On-site

$85 - $110/hr

This includes data cleansing, analyzing spend data and vendor proposals, creating financial analyses, and summarizing and effectively communicating the financial results of the analyses. What will ...

HealthTrust

Senior Financial Analyst

Nashville, TN · On-site

This includes data cleansing, analyzing spend data and vendor proposals, creating financial analyses, and summarizing and effectively communicating the financial results of the analyses. What will ...

HealthTrust

Senior Financial Analyst

Murfreesboro, TN · On-site

This includes data cleansing, analyzing spend data and vendor proposals, creating financial analyses, and summarizing and effectively communicating the financial results of the analyses. What will ...

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All JobsData Cleansing JobsData Cleansing Jobs in Tennessee

Data Cleansing information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do data cleansing jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data cleansing in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 per year, depending on experience, location, and employer.

What is data cleansing?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

What are the key skills and qualifications needed to thrive in data cleansing, and why are they important?

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What are some common challenges faced in data cleansing?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can require attention to detail and familiarity with tools like Excel or specialized software. The difficulty depends on the complexity and size of the data, but it generally requires patience and analytical skills.

What are the most commonly searched types of Data Cleansing jobs in Tennessee?

The most popular types of Data Cleansing jobs in Tennessee are:

What are popular job titles related to Data Cleansing jobs in Tennessee?

For Data Cleansing jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Data Cleansing jobs in Tennessee look for?

The top searched job categories for Data Cleansing jobs in Tennessee are:

Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.

Data Engineer

CereCore

Nashville, TN

$110K - $132K/yr

Contractor

Re-posted 24 days ago

Job description

Classification: Contract
Contract Length: 12-months

Position Summary

The Data Engineer as part of the Data Management and BI will participate in the development and deployment of Data Warehouse and BI products aligned to the business's strategic plans and the HBS Shared Services initiative. These resources will be embedded in product delivery pods supporting recruiting, onboarding, credentialing, contract automation, Flex Path, compensation, QGenda automation, and KPI reporting. The employee will build the governed data foundation required for AI-enabled workflows, automation, dashboards, decision support, and agent-assisted product delivery.

Responsibilities

  • Data Engineer as part of the Data Management and BI should be able to effectively communicate complex ideas to a diverse population, demonstrate a forward-looking perspective, and support tactical decision-making processes.
  • This role will work closely with Product Owners, App Developers, BI teams, Security, Responsible AI, Enterprise Architecture, business stakeholders, and other development teams.
  • The candidate should perform all duties with a focus on quality of work and attention to detail with a high level of self-management and self-awareness, while helping convert manual processes, spreadsheets, and disconnected workflows into governed, scalable data solutions.

Requirements

  • Specific expertise/experience in data acquisition, data cleansing, parsing, validation, reconciliation, lineage, and documentation required.
  • Specific expertise/experience in data analysis, modeling and visualization required.
  • Specific expertise/experience in data technologies such as Google BigQuery, Teradata Vantage, Oracle, SQL Server, or other DBMS.
  • Specific expertise/experience in the areas of data structures and data warehousing required.
  • Understanding of MicroStrategy, Business Objects, Power BI, or other Enterprise BI tools.
  • Strong experience implementing and overseeing data quality, governance, testing, validation, reconciliation, lineage, documentation, and change management processes
  • Specific expertise/experience with ETL/ELT and development tools such as Teradata Protocol Transport, SSIS, Python, PowerShell, and cloud data services
  • Specific expertise/experience building scalable pipelines, data models, curated datasets, and governed data products required.
  • Experience integrating multiple source systems and preparing data for AI agents, applications, automation workflows, dashboards, and reporting required.
  • Experience with GCP, Python, MS SQL Server, Teradata, and BI platforms preferred.
  • Knowledge of Clinical and Financial Applications.
  • Knowledge of EMR or Practice Management Systems such as E-Clinical Works, Epic, GE Centricity, NextGen, etc.
  • Articulates existing system structure, constraints and deficiencies with product to development, customer engagement, architecture and support teams
  • Contributes to technology option discussions and decisions for a product
  • Pursues new methods and solutions, thinks outside the box, connects disparate ideas, is comfortable using unorthodox methods
  • Experience with a variety of Database Management Systems (DBMS) especially Teradata, SQL Server, Oracle, Netezza, etc.
  • Healthcare/provider lifecycle experience preferred, including recruiting, onboarding, credentialing, contract automation, QGenda scheduling, compensation, Flex Path, and KPI reporting.
  • Experience with AI, automation, agentic workflows, or decision-support products preferred.
  • Experience supporting agentic delivery models across business-outcome product pods

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