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Data Cleaner Jobs in Texas (NOW HIRING)

Collect, clean, and analyze healthcare data from multiple sources * Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and ...

Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization.

Clean, transform, and prepare large, complex datasets for modeling and analysis. * Work with diverse data sources including business credit bureau data, bank transaction data, financial statements ...

SQL, data cleaning, feature engineering * Hyperscale's: AWS, Azure, or GCP experience a plus * On prem and cloud development projects with CI/CD Experience * Design, develop, and implement advanced ...

Clean, transform, and prepare large, complex datasets for modeling and analysis. * Work with diverse data sources including business credit bureau data, bank transaction data, financial statements ...

Data Engineer - Azure Data Factory

Addison, TX ยท Hybrid

$110K - $133K/yr

Perform data cleaning, transformation, and migration to support analytics and application integration. * Troubleshoot pipeline failures, monitor performance, and implement process improvements.

Key Responsibilities Analyze banking and financial services data including customer, account, transaction, payment, lending, and credit data Write SQL queries to extract, clean, transform, and ...

Practical data cleaning and validation skills. * Advanced Excel skills, including pivot tables and formulas. * Interest or experience in energy markets, with LNG knowledge preferred. * Strong ...

Perform data cleaning, transformation, and preprocessing to ensure high data quality. * Build scalable data pipelines to support modeling and analytics initiatives. Exploratory Data Analysis (EDA)

High proficiency and professional experience with data acquisition, data manipulation, data cleaning. * Interview process: In-person interview mandatory and there will be 2 rounds and both are In ...

Data Analyst

Plano, TX ยท On-site

High proficiency and professional experience with data acquisition, data manipulation, data cleaning. High proficiency and professional experience identifying trends and indicators through ...

Business Data Analyst

Plano, TX ยท On-site

$69/hr

High proficiency and professional experience with data acquisition, data manipulation, data cleaning. * Interview process: In-person interview mandatory and there will be 2 rounds and both are In ...

Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization

Sr. Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Data cleaning/de-duplication/reconciliation, etc. * 5+ years of professional Python development to process complex datasets efficiently, process automations using Polars, Pandas or equivalent.

Data Engineer

Dallas, TX

$113K - $136K/yr

Data cleaning/de-duplication/reconciliation, etc. * 5+ years of professional Python development to process complex datasets efficiently, process automations using Polars, Pandas or equivalent.

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Data Cleaner information

See Texas salary details

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How much do data cleaner jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data cleaner in Texas is $21.11, according to ZipRecruiter salary data. Most workers in this role earn between $11.42 and $21.99 per hour, depending on experience, location, and employer.

What are Data Cleaners?

Data Cleaners are professionals who specialize in identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure the information is accurate, complete, and ready for analysis. Their work involves tasks such as removing duplicate records, filling in missing values, standardizing formats, and validating data against predefined rules. Data Cleaners play a crucial role in maintaining data quality, which is essential for reliable data analysis and decision-making in organizations.

What are some typical challenges faced by Data Cleaners when working with large datasets, and how can they be addressed?

Data Cleaners often encounter challenges such as inconsistent data formats, missing values, and duplicate records, especially when handling large datasets from multiple sources. Addressing these issues requires a solid understanding of data validation techniques and the use of specialized tools or programming languages like Python or SQL. Collaboration with data analysts or database administrators is also essential to clarify data requirements and resolve complex discrepancies, ensuring the cleaned data meets the organization's standards for analysis and reporting.

What are the key skills and qualifications needed to thrive as a Data Cleaner, and why are they important?

To excel as a Data Cleaner, you need a solid understanding of data management principles, attention to detail, and proficiency in data analysis, often supported by a degree in a quantitative field. Familiarity with data cleaning tools such as Microsoft Excel, Python (Pandas), SQL, and sometimes specialized ETL software is typically required. Strong problem-solving skills, patience, and the ability to communicate data issues clearly set outstanding Data Cleaners apart. These skills ensure that data is accurate, consistent, and reliable, which is crucial for effective analysis and business decision-making.

What is the difference between Data Cleaner vs Data Analyst?

AspectData CleanerData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentData processing centers, offices, remoteOffices, remote, or client sites
Industry UsageData management, IT, business servicesBusiness intelligence, finance, marketing, healthcare
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, interpretative roles

Data Cleaners focus on preparing raw data by removing errors and inconsistencies, ensuring data quality. Data Analysts interpret cleaned data to generate insights and support decision-making. While both roles work with data, Data Cleaners handle data preparation, whereas Data Analysts analyze data to provide strategic recommendations.

What cities in Texas are hiring for Data Cleaner jobs? Cities in Texas with the most Data Cleaner job openings:
Infographic showing various Data Cleaner job openings in Texas as of June 2026, with employment types broken down into 68% Full Time, 11% Part Time, 7% Temporary, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,914 per year, or $21.1 per hour.

DATA ANALYST

AaraTechnologies Inc

Texas City, TX โ€ข Remote

Other

Posted 4 days ago


Job description

Data Analyst Healthcare (2 3 Years Experience)

Company: AaraTech Inc

<>About the Role

AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare (2 3 years experience) to support healthcare reporting, analytics, and data quality initiatives. This role is ideal for early-career professionals who enjoy working with healthcare data, building reports, and delivering insights that support business and operational decision-making.


<>Key Responsibilities
  • Collect, clean, and analyze healthcare data from multiple sources
  • Create and maintain reports and dashboards using Tableau, Power BI, or Excel
  • Perform data validation, quality checks, and reconciliation
  • Write SQL queries to extract and analyze healthcare data
  • Support KPI tracking, trend analysis, and recurring performance reports
  • Collaborate with business stakeholders to understand reporting needs
  • Document report logic, metrics, and data definitions
  • Assist with ad-hoc analysis and business reviews

<>Required Qualifications
  • 2 3 years of experience in Data Analysis, Reporting, or a related role
  • Bachelor s degree in Data Analytics, Business, Healthcare Administration, or a related field (or equivalent experience)
  • Working knowledge of SQL
  • Experience with BI tools such as Tableau, Power BI, or Looker
  • Strong Excel skills (pivot tables, formulas, charts)
  • Understanding of data cleaning, validation, and basic analytics
  • Strong attention to detail and communication skills

Skills

Healthcare Data Analysis, SQL, Tableau, Power BI, Excel (Pivot Tables, Advanced Formulas), Data Cleaning, Data Validation, Data Quality, KPI Reporting, Dashboard Development, Trend Analysis, Healthcare Metrics, Documentation, Stakeholder Communication


<>Why Join AaraTech Inc?
  • Hands-on healthcare analytics experience
  • Career growth opportunities
  • Mentorship and training programs
  • Flexible and remote-friendly work environment