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Data Science Engineer Jobs in Texas (NOW HIRING)

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years ...

Data Science Tutor

Mckinney, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Dallas, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Irving, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Edinburg, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Bryan, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Carrollton, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

El Paso, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Austin, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Round Rock, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Brownsville, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

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Showing results 1-20

Data Science Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data science engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data science engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are the most commonly searched types of Data Science Engineer jobs in Texas? The most popular types of Data Science Engineer jobs in Texas are:
What job categories do people searching Data Science Engineer jobs in Texas look for? The top searched job categories for Data Science Engineer jobs in Texas are:
What cities in Texas are hiring for Data Science Engineer jobs? Cities in Texas with the most Data Science Engineer job openings:
Infographic showing various Data Science Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Agentic AI Engineer (Senior - Principal - Advisor) - Drill Bits and Service

Agentic AI Engineer (Senior - Principal - Advisor) - Drill Bits and Service

Halliburton

Conroe, TX • On-site

$107K - $148K/yr

Other

Posted 23 days ago


Halliburton rating

7.1

Company rating: 7.1 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

292nd of 375 rated engineering


Job description

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry.

About Drill Bits & Services (DBS)

Drill Bits & Services delivers next-generation drilling technologies that optimize performance, durability, and well construction efficiency. Through advanced materials science, engineering innovation, and field-driven design, DBS creates high-strength, wear-resistant tools that withstand extreme downhole environments. Our teams integrate metallurgy, welding science, mechanical engineering, and manufacturing expertise to deliver industry-leading drilling solutions that enhance reliability, extend bit life, and reduce operational costs.

About the Role

The Senior Data Scientist is responsible for designing and delivering advanced analytics and agentic AI systems that enhance drilling performance, operational decision-making, and digital capabilities across DBS.

This role operates at the intersection of data science, software engineering, and domain expertise-developing intelligent systems that can reason, act, and automate workflows using real-world drilling data. The position works closely with engineers, product teams, and operations to translate complex data into scalable, production-ready solutions.

Key Responsibilities

   Design, architect, and implement agentic AI systems using appropriate orchestration patterns, frameworks, LLM integrations, and tooling to support complex, risk aware workflows.
   Own end to end delivery from prototype to production, ensuring strong data grounding, reliability, human in the loop controls, escalation paths, and graceful failure behavior in live systems.
   Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security, privacy, and data governance policies.
   Identify opportunities to automate workflows and enhance decision-making using AI-driven approaches.
   Partner with process owners, domain experts, and governance teams to translate business problems into trusted, usable AI solutions.
   Contribute to development of data science and AI strategy within DBS.
   Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities.
   Support intellectual property development, including publications and patents.
   Participate in industry forums, conferences, and technical communities.

Qualifications

Required
   Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline.
   4+ years of experience in software or related domain.
   2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows.
   Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent).
   Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation.
   Experience with Azure AI Foundry or comparable platforms for agent development, deployment, evaluation, and safety controls.
   Working knowledge of Azure based cloud environment and Databricks.
   Ability to work independently and deliver end-to-end solutions.
   Self-directed learner with strong problem-solving skills and practical business judgment.

Preferred
   Master's degree or higher in a STEM field. 
   Exposure to drilling, oil & gas, or industrial data environments.
   Experience collaborating with cross-functional teams (engineering, product, operations).

Candidates who exceed minimum job requirements may be considered for higher-level roles depending on experience, additional qualifications, and business needs. Opportunities include advancement from Data Science Engineer Senior - Data Science Engineer Principal - Data Science Engineer Advisor . 

World Class Benefits

At Halliburton, we're committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs - now and in the future. When you join our team, you'll gain access to a wide range of programs designed to help you thrive at work and at home.

Click here to review a summary of the benefits available once you join.

Core Competencies

Agentic AI Development | LLM & Autonomous Systems | Agentic orchestration | RAG pipelines | LangGraph | LangChain | LangSmith | DataBricks | Azure | Azure AI Foundry | Data Analysis & Problem Solving | Cross-Functional Collaboration | Innovation & Continuous Improvement | Technical Communication | Domain Integration (Drilling & Operations)

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

16548 Donwick Drive, Conroe, Texas, 77385, United States

Job Details

Requisition Number: 208299  
Experience Level: Experienced Hire 
Job Family: Engineering/Science/Technology 
Product Service Line: Drill Bits and Service   
Full Time / Part Time: Full Time

Additional Locations for this position: 

Compensation Information
Compensation is competitive and commensurate with experience.


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About Halliburton

Sourced by ZipRecruiter

Halliburton, headquartered in Houston, TX, US, is a world-renowned corporation in the oilfield services industry. Established in 1919, the company has made significant inroads in the energy sector, playing a pivotal role in oil and gas explorations across the globe. One can visit their official website, halliburton.com, to learn more about their business operations, products, and services. Halliburton specializes in a broad spectrum of services including locating hydrocarbons, managing geological data, drilling and formation evaluation, well construction and completion, and optimizing production throughout the life of the field. Halliburton’s mission is to maximize the value of oil and gas assets.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Houston, TX, US