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Data Cleaner Jobs in Texas (NOW HIRING)

Mergen IT LLC

Data Scientist

Manor, TX · On-site

Key Responsibilities • Clean, preprocess, and transform structured and unstructured data using Python • Perform exploratory data analysis (EDA) to uncover insights and trends • Build reusable ...

Sensiple Inc.

Data Analyst

San Antonio, TX · On-site

Clean, transform, and structure data for reporting use * Connect and load data into Power BI using appropriate connectors * Build and maintain Power BI dashboards and underlying data models * Provide ...

Sarian, Inc.

Data Scientist

Addison, TX · On-site

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

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

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 ...

Syntricate Technologies

Data Scientist

Dallas, TX · On-site

SQL, data cleaning, feature engineering • Problem-solving & critical thinking: Ability to identify and solve complex problems with data-driven solutions. • Communication & collaboration:

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

... data cleaning and preprocessing • Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research ...

Corework Staffing

Data Analyst

Austin, TX · On-site

Experience handling and analyzing large, complex datasets, with an understanding of data structures, data cleaning, and performance optimization * Analytical ability to manage multiple projects and ...

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · 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 ...

Judge Group, Inc.

Data Analyst

Arlington, TX · On-site

$65 - $75/hr

Clean, transform, validate, and integrate structured and unstructured data sources. * Build and maintain data models to support entity resolution and record linking initiatives. * Perform statistical ...

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · On-site

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 ...

Apex Informatics

Data Scientist

Addison, TX · On-site

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

Kforce Technology Staffing

Data Scientist

Houston, TX · On-site

Developing end-to-end LLM based solutions, from data cleaning, pre-processing, to modelling and validation REQUIREMENTS: * Experience with HITL validation and LLM fine tuning * Working knowledge of ...

PSCI

Data Analyst Level 3 (22519-1)

Arlington, TX · On-site

$75.38/hr

Data Cleaning and Data Integration - turning unstructured documents into clean. * Data modeling for entity linking - experience designing keys/joins across datasets. * SQL. * Document processing.

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How much do data cleaner jobs pay per hour?

As of Sep 6, 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 is a data cleaner?

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 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 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 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 are popular job titles related to Data Cleaner jobs in Texas?

For Data Cleaner jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Cleaner jobs in Texas look for?

The top searched job categories for Data Cleaner jobs in Texas are:

What cities in Texas are hiring for Data Cleaner jobs?

Cities in Texas with the most Data Cleaner job openings:

Data Cleaner jobs near you
Infographic showing various Data Cleaner job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,914 per year, or $21.1 per hour.

Data Scientist

Mergen IT LLC

Manor, TX • On-site

Other

Posted 4 days ago

Job description

Job Title: Data Scientist

Location : Austin, TX  (Day One Onsite to Client Location) 
H-1B transfers are accepted.

Job Description
We are seeking a Data Scientist with 6 or more years of hands-on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset. Experience with machine learning and LLMs is a strong plus.
Key Responsibilities
• Clean, preprocess, and transform structured and unstructured data using Python
• Perform exploratory data analysis (EDA) to uncover insights and trends
• Build reusable data pipelines and feature engineering workflows
• Work with SQL and/or cloud-based data warehouses to extract and prepare data
• Collaborate with stakeholders to translate business problems into data-driven solutions
• Develop and maintain analytical models and dashboards
• Apply basic to intermediate machine learning techniques where applicable
• Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed
• Ensure data quality, reliability, and documentation
Required Skills & Qualifications
• 3+ years of experience as a Data Scientist / Data Analyst
• Strong proficiency in Python for data manipulation and analysis
o Pandas, NumPy, SciPy
• Solid understanding of data cleaning, transformation, and feature engineering
• Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.)
• Familiarity with data visualization tools
o Matplotlib, Seaborn, Plotly, or Power BI/Tableau
• Understanding of statistics and data analysis fundamentals
• Experience working with APIs and external data sources
• Strong problem-solving and communication skills
Modern / Latest Tech Stack (Preferred)
• Python (3.x)
• Pandas, NumPy, Scikit-learn
• Jupyter, VS Code
• Git / GitHub
• Cloud platforms: AWS / Azure / Google Cloud Platform
• Data tools: Airflow, dbt, Spark (basic exposure)
• Containerization: Docker (nice to have)
Good to Have
• Hands-on experience with Machine Learning models
o Regression, classification, clustering, time series
• Exposure to LLMs and Generative AI
o OpenAI / Azure OpenAI APIs
o Prompt engineering
o Embeddings, vector databases (FAISS, Pinecone, Chroma)
• Experience with NLP or text analytics
• Knowledge of MLOps basics (model versioning, monitoring)

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