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Machine Learning Data Engineer Jobs in Texas (NOW HIRING)

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Data Engineer Location: Richardson, TX Duration: Long term contract Interview: F2F (Face to ... Exposure to machine learning data preparation pipelines.

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

TECHOAUTH SOLUTIONS LLC

Senior Data Engineer

Fort Worth, TX · Hybrid

$70K - $120K/yr

Senior Data Engineer Company: Techoauth Solutions LLC Location: Fort Worth, TX (Hybrid) Job Summary ... Experience working with AI or machine learning data platforms Work Environment * Hybrid work model ...

TECHOAUTH SOLUTIONS LLC

Senior Data Engineer

Fort Worth, TX · Hybrid

$70K - $120K/yr

Senior Data Engineer Company: Techoauth Solutions LLC Location: Fort Worth, TX (Hybrid) Job Summary ... Experience working with AI or machine learning data platforms Work Environment * Hybrid work model ...

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All JobsMachine Learning Data Engineer JobsMachine Learning Data Engineer Jobs in Texas

Machine Learning Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do machine learning data engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for machine learning data 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 are the key skills and qualifications needed to thrive in the Machine Learning Data Engineer position, and why are they important?

To thrive as a Machine Learning Data Engineer, you typically need strong programming skills in Python or Scala, a deep understanding of data structures, algorithms, and machine learning concepts, as well as a degree in computer science or a related field. Experience with big data tools like Spark, Hadoop, and cloud platforms such as AWS or Azure, along with knowledge of data pipelines and ETL processes, is highly valuable; certifications in these areas can be advantageous. Problem-solving ability, attention to detail, and strong communication skills help professionals excel when working with diverse technical teams and stakeholders. These skills ensure data engineers can effectively build reliable, scalable data systems that support the development and deployment of machine learning models.

Can a data engineer become a machine learning engineer?

A data engineer can transition to a machine learning engineer role by gaining knowledge of machine learning algorithms, model development, and deployment techniques. Skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and understanding of data pipelines are essential for this progression.

What is a Machine Learning Data Engineer job?

A Machine Learning Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports machine learning models. They develop data pipelines, ensure data quality, and optimize data storage for efficient processing. This role involves working with large-scale datasets, implementing ETL processes, and collaborating with data scientists to deploy machine learning models. Strong knowledge of databases, cloud platforms, and programming languages like Python and SQL is essential. Their work enables organizations to leverage machine learning effectively by providing reliable and scalable data solutions.

Will MLE be replaced by AI?

Machine Learning Data Engineers (MLEs) design, build, and maintain data pipelines and models that AI systems rely on. While AI automation tools can handle some tasks, MLE skills in data engineering, programming, and system architecture remain essential for developing and managing AI infrastructure effectively. The role is expected to evolve with advancements in AI, but it is unlikely to be fully replaced in the near future.

What are the typical daily responsibilities of a Machine Learning Data Engineer?

As a Machine Learning Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that efficiently move and transform data for machine learning applications. You may clean, preprocess, and validate large datasets, optimize storage solutions, and work closely with data scientists to ensure data is accessible and usable for model training and evaluation. Regular collaboration with software engineers and business analysts is common to align project goals and solve data-related challenges. Staying up to date with the latest tools and technologies is also important, as you'll help enable scalable and efficient deployment of machine learning solutions.

What engineers make $500,000?

Senior machine learning data engineers with extensive experience, advanced skills in data architecture, and proficiency in tools like Spark and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership responsibilities, and industry reputation.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data modeling, and experience with tools like TensorFlow or PyTorch. These positions usually involve leadership responsibilities, strategic planning, and may require multiple years of specialized experience or advanced degrees. Compensation at this level reflects the value of expertise in developing and deploying complex AI systems in competitive industries.
What are popular job titles related to Machine Learning Data Engineer jobs in Texas? For Machine Learning Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Data Engineer jobs in Texas look for? The top searched job categories for Machine Learning Data Engineer jobs in Texas are:
Machine Learning Data Engineer jobs near you
Infographic showing various Machine Learning Data 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.

Sr. Software Engineer, Machine Learning/Data Science

SpaceX

Bastrop, TX

$113K - $136K/yr

Other

Posted 6 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 71 rated aerospace companies

Job description

SR. SOFTWARE ENGINEER, MACHINE LEARNING/DATA SCIENCE

The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flights as well as systems that allow Starlink to grow into a worldwide fast, reliable internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. 

Our team is creating systems to analyze data from events like rocket launches or factory production workloads to always-on telemetry from the Starlink satellite constellation with point-in-time analysis, historical analysis and machine learning. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. 

Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. 

RESPONSIBILITIES: 

  • Develop highly reliable and scalable data analysis libraries, systems, and data pipelines, to empower engineers across SpaceX
  • Create new applications that improve how the business at SpaceX operates
  • Collaborate with peers on architecture, design, and code reviews
  • Build prototypes to prove out key design concepts and quantify technical constraints
  • Own all aspects of software engineering and product development
  • Deep dive into engineering problems and involve in corporation/coordination with domain experts

BASIC QUALIFICATIONS: 

  • Bachelor's degree in computer science, engineering, math, or scientific discipline and 5+ years of professional experience in software development; OR 7+ years of professional experience building software in lieu of a degree
  • 3+ years of professional experience in full-stack development

PREFERRED SKILLS AND EXPERIENCE: 

  • 3+ years of professional experience in data engineering or data science
  • 2+ years of hands-on experience applying ML techniques (ex: CNNs, RNNs) to datasets
  • Programming experience in Python, C#,or similar languages
  • Experience working withdata analysis libraries such as Python Pandas
  • Experience with machine learning libraries like SciPi and PyTorch
  • Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar
  • Experience with relational databases such as PostgreSQL
  • Experience applying computer vision libraries such as OpenCV and Ultralytics to real-world problems
  • Goodunderstanding of machine learning algorithms, linear algebra, calculus, probability, statistics, and optimization methods. 
  • Good understanding of version control, testing, continuous integration, build, deployment and monitoring
  • Some front-end experience in Angular, React, or similar JavaScript framework

ADDITIONAL REQUIREMENTS: 

  • You may be asked to work extended hours/weekends dependent on launch cadence
  • Must be willing to travel when needed

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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