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Data Preprocessing Jobs in Lewisville, TX (NOW HIRING)

Perform data preprocessing, feature engineering, model training, and evaluation. * Build AI/ML solutions using Python and popular ML frameworks. * Work with structured and unstructured datasets.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

... Data Preprocessing & Feature Engineering Model Training, Validation & Evaluation Statistics & ML Algorithms MLOps CI/CD Pipelines Docker Kubernetes REST APIs & Microservices Cloud Platforms (Azure ...

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand ...

Conduct exploratory data analysis, feature engineering, and data preprocessing to solve business problems. * Own, operate, and enhance our proprietary risk-based pricing engine (a production Python ...

Conduct exploratory data analysis, feature engineering, and data preprocessing to solve business problems. * Own, operate, and enhance our proprietary risk-based pricing engine (a production Python ...

Conduct exploratory data analysis, feature engineering, and data preprocessing to solve business problems. * Own, operate, and enhance our proprietary risk-based pricing engine (a production Python ...

Gathering unstructured and structured data from multiple sources, then cleaning and preprocessing it to ensure data quality and usability. Exploratory Data Analysis (EDA): Analyzing data to uncover ...

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Data Preprocessing information

See Lewisville, TX salary details

$43K

$154.1K

$227.4K

How much do data preprocessing jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data preprocessing in Lewisville, TX is $154,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,700.00 and $158,800.00 per year, depending on experience, location, and employer.

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

What are the key skills and qualifications needed to thrive as a data preprocessing specialist, and why are they important?

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

What are some common challenges faced in a data preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

What are popular job titles related to Data Preprocessing jobs in Lewisville, TX?

For Data Preprocessing jobs in Lewisville, TX, the most frequently searched job titles are:

What job categories do people searching Data Preprocessing jobs in Lewisville, TX look for?

The top searched job categories for Data Preprocessing jobs in Lewisville, TX are:

Infographic showing various Data Preprocessing job openings in Lewisville, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $154,126 per year, or $74.1 per hour.

Data Analyst with Security Clearance

PlanIT Group LLC

Grand Prairie, TX • On-site

Contractor

Re-posted yesterday


Job description

We are seeking a skilled Data & AI Specialist to design, develop, and deploy data-driven solutions that leverage artificial intelligence and machine learning. This role bridges data engineering, analytics, and AI model development to deliver actionable insights and scalable intelligent systems that support business objectives.
Design, build, and maintain data pipelines and infrastructure to support analytics and AI initiatives
Develop, train, and deploy machine learning and AI models for predictive and prescriptive use cases
Analyze large, complex datasets to extract insights and communicate findings to stakeholders
Collaborate with cross-functional teams to identify opportunities for AI-driven improvements
Implement data preprocessing, feature engineering, and model evaluation techniques
Monitor model performance and retrain models as needed to ensure accuracy and relevance
Ensure data quality, integrity, and governance across systems
Stay up to date with emerging trends in AI, machine learning, and data technologies Basic Qualifications:
1) Data Analysis Experience
2) Quality Analysis Experience
3) Software and Programming Skills Experience
4) Trend Analysis Experience Looking for talent who are able to develop AI bots to deploy and make efficiency gains in our teams ability to identify and find trends quickly in a fast paced environment.