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Data Preprocessing Jobs in Texas (NOW HIRING)

One Park Financial

Senior Data Scientist

Plano, TX · On-site

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 ...

One Park Financial

Senior Data Scientist

Plano, TX · On-site

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 ...

One Park Financial

Senior Data Scientist

Plano, TX · On-site

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 ...

PROLIM Global Corporation

Data Scientist

Plano, TX · On-site

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 ...

Adidev Technologies Inc

ML/AI Engineers

Austin, TX · On-site

... data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models ...

Adidev Technologies Inc

ML/AI Engineers

Austin, TX · On-site

... data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. • Lead cross-functional collaborations to integrate Generative AI models ...

PB consulting

Generative AI Engineer

Dallas, TX · On-site

Experience with data preprocessing, feature engineering, SQL, and data manipulation. * Familiarity with AI model evaluation, optimization, and hyperparameter tuning. * Strong analytical, problem ...

PB consulting

Generative AI Engineer

Cockrell Hill, TX · On-site

Experience with data preprocessing, feature engineering, SQL, and data manipulation. * Familiarity with AI model evaluation, optimization, and hyperparameter tuning. * Strong analytical, problem ...

PB consulting

Generative AI Engineer

Euless, TX · On-site

Experience with data preprocessing, feature engineering, SQL, and data manipulation. * Familiarity with AI model evaluation, optimization, and hyperparameter tuning. * Strong analytical, problem ...

PB consulting

Generative AI Engineer

Highland Park, TX · On-site

Experience with data preprocessing, feature engineering, SQL, and data manipulation. * Familiarity with AI model evaluation, optimization, and hyperparameter tuning. * Strong analytical, problem ...

PB consulting

Generative AI Engineer

Duncanville, TX · On-site

Experience with data preprocessing, feature engineering, SQL, and data manipulation. * Familiarity with AI model evaluation, optimization, and hyperparameter tuning. * Strong analytical, problem ...

PB consulting

Generative AI Engineer

Hurst, TX · On-site

Experience with data preprocessing, feature engineering, SQL, and data manipulation. * Familiarity with AI model evaluation, optimization, and hyperparameter tuning. * Strong analytical, problem ...

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

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

What cities in Texas are hiring for Data Preprocessing jobs?

Cities in Texas with the most Data Preprocessing job openings:

Data Preprocessing jobs near you
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.

Experienced Data Science AI Engineer

Gainwell Technologies LLC

Houston, TX • On-site

$117K - $168K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 27 days ago

Gainwell Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
Summary
Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.
Your role in our mission
  • AI Model Development - Design and build AI Solutions that use machine learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
  • End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact.
  • Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
  • System Integration - Implement and optimize AI solutions within Gainwell's existing technology stack, collaborating with engineering teams to ensure seamless integration.
  • Performance Optimization - Continuously monitor, refine, and optimize AI solutions for accuracy, efficiency, and speed, leveraging MLOps best practices.
  • AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
  • Compliance & Security - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
  • Automation & Workflow Enhancement - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.

What we're looking for
  • Master's or Ph.D in Computer Science, AI, Data Science, or a related field.
  • 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
  • Hands-on expertise in production operations involving machine learning, deep learning and GenAI.
  • Strong programming skills in Python, AI Agent Frameworks (Langchain, Crew.ai), TensorFlow, PyTorch, and other AI frameworks.
  • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization, and inference efficiency.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and MLOps for scalable AI deployments.
  • Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
  • Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
  • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.

What you should expect in this role
  • Fully Remote Opportunity - Work from anywhere in the U.S.
  • Minimal Travel Required - Occasional travel opportunities (0-10%).
  • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
  • Video cameras must be used during all interviews, as well as during the initial week of orientation
  • The Deadline to submit applications for this posting is September 24, 2026

The pay range for this position is $117,800.00 - $168,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.
We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.
Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

What Gainwell Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Gainwell Technologies

Sourced by ZipRecruiter

With Health and Cost outcomes that pierce Inequities and Impact Economies, the success of our Nation’s Federal Medicaid program is inextricably tied to the Prosperity of Communities, States and the Nation as a whole. We think that deserves Respect and a Commitment from Innovators who can help those who operate within and around health and human services evolve to meet their goals. At Gainwell, that’s our Sole focus. Built across more than Five Decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet Agencies, Health plans and MCOs where they are on their modernization journeys and propel them into the future of Healthcare. Equally important to our Expanding Technologies and Results. We bring ideas that bring policies to life.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Irving, TX, US

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