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Data Preparation Jobs in Texas (NOW HIRING)

Data Engineer

Farmers Branch, TX · On-site

$145K - $170K/yr

Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics. * Investigate production issues ...

AIML Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... preparation - tokenization, embedding generation, prompt engineering data flows Experience with streaming or event-driven data architectures (Kafka or similar) Experience with data quality and ...

AIML Data Engineer

Austin, TX · On-site

$125 - $150/hr

Familiarity with NLP data preparation -- tokenization, embedding generation, prompt engineering data flows * Experience with streaming or event-driven data architectures (Kafka or similar)

New

Support AI/ML data preparation and feature engineering automation * Develop monitoring and alerting automation for integrated systems * Implement API integrations for data sharing and workflow ...

Data Engineer- Manager

Dallas, TX · On-site

$113K - $136K/yr

Demonstrated experience in data preparation and structuring for Retrieval-Augmented Generation (RAG) systems, with hands-on knowledge of tools like Azure AI Search and a strong understanding of how ...

Senior Data Engineer

Plano, TX · On-site

$130K - $135K/yr

Exposure to ML data preparation pipelines Soft Skills: * Strong communication and documentation skills * Ability to work independently and mentor others Problem-solver with a focus on delivering ...

AIML Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Design, build, and maintain scalable data pipelines that ingest, transform, and deliver support interaction data to LLM-based scoring systems Engineer features and data transformations that prepare ...

Support Artificial Intelligence and Machine Learning initiatives through strong data governance and data preparation practices. * Partner with Product and Engineering teams to provide clean, reliable ...

Support Artificial Intelligence and Machine Learning initiatives through strong data governance and data preparation practices. * Partner with Product and Engineering teams to provide clean, reliable ...

Data Analyst

San Antonio, TX · On-site

$80 - $100/hr

Data Preparation for AI Modeling: Ability to clean, organize, & label data to enable it to be utilized effectively within AI systems, including identifying missing, incorrect, or biased data that ...

Data Engineer

Irving, TX · On-site

$77K - $135K/yr

Utilize Python to enable data preparation, analytics workflows, and experimentation for machine learning use cases. * Collaborate with data science teams to operationalize models using Spark, ML ...

Utilize Python to enable data preparation, analytics workflows, and experimentation for machine learning use cases. * Collaborate with data science teams to operationalize models using Spark, ML ...

Showing results 21-40

Data Preparation information

What is a data preparation?

A Data Preparation job involves collecting, cleaning, structuring, and transforming raw data into a usable format for analysis or machine learning. Professionals in this role ensure data quality by handling missing values, removing duplicates, and standardizing formats. They work with databases, ETL tools, and programming languages like SQL or Python. Data preparation is crucial for accurate analytics, reporting, and AI model performance.

What does a data preparation do?

A Data Preparation professional typically spends their days gathering, cleaning, and organizing raw data from various sources to make it ready for analysis. This involves identifying data discrepancies, standardizing formats, and collaborating with data analysts or engineers to resolve data quality issues. You may also automate parts of the data pipeline, document processes, and troubleshoot issues to ensure data accuracy and reliability. Working closely with cross-functional teams ensures that the data provided meets the needs of different business or research objectives. Mastery of these daily responsibilities enables smoother downstream analysis and a critical foundation for data-driven decision-making.

What are the key skills and qualifications needed to thrive in data preparation, and why are they important?

To thrive in Data Preparation, you should possess strong analytical skills, attention to detail, and proficiency in managing large datasets, often supported by a background in statistics, mathematics, or computer science. Familiarity with data wrangling tools such as SQL, Python (pandas), or specialized ETL software is typically required, and certifications in data analytics or data engineering are advantageous. Excellent problem-solving abilities, communication skills, and adaptability stand out in this role. These skills ensure data quality, streamline data workflows, and support effective collaboration with analysts and data scientists to drive organizational insights.

Infographic showing various Data Preparation job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, 2% Temporary, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Engineer

Robert Half

Farmers Branch, TX • On-site

$145K - $170K/yr

Full-time

Posted 5 days ago


Job description

We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions. The position is ideal for a hands-on individual who excels at building scalable pipelines, improving data performance, and partnering with technical and business teams to deliver reliable data products.
Responsibilities:
• Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools.
• Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets.
• Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data.
• Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns.
• Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments.
• Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support.
• Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments.
• Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions.
• Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics.
• Investigate production issues, evaluate new technologies, and recommend improvements that strengthen reliability, efficiency, and business value.• At least 7 years of experience in cloud data engineering, data integration, data warehousing, and enterprise analytics environments.
• Strong practical experience with Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and broader Azure data services.
• Demonstrated success designing lakehouse solutions and implementing layered data architectures for raw, transformed, and curated data.
• Advanced coding skills in Python, PySpark, Spark, SQL, T-SQL, and Scala for large-scale data processing.
• Proven ability to develop and optimize Databricks notebooks and distributed processing jobs handling high-volume workloads.
• Experience with Git, Azure DevOps, CI/CD pipelines, and automated deployment practices in cloud-based development environments.
• Solid understanding of data warehouse design, dimensional modeling, data governance, metadata management, and data quality principles.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field, or equivalent hands-on experience.

Robert Half logo

About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948