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Data Preprocessing Jobs in Texas (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 ML Developer 1 Key Responsibilities: - Design, develop, and deploy machine learning models for production use cases - Build and maintain data pipelines, preprocessing workflows, and feature ...

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/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 ...

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.

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Data Preprocessing information

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 Texas?

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

What cities in Texas are hiring for Data Preprocessing jobs?

Cities in Texas with the most Data Preprocessing job openings:

Infographic showing various Data Preprocessing job openings in Texas as of June 2026, with employment types broken down into 40% Internship, and 60% Full Time. Highlights an 100% In-person job distribution.

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.