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Machine Learning Data Engineer Jobs in Texas (NOW HIRING)

Daman Inc

Machine Learning Engineer

San Antonio, TX · On-site

Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models. Collaborate with other engineers and data scientists to design high ...

New

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

HEB

Data Engineering Manager

Austin, TX · On-site

You will partner closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience, and senior technology leaders to deliver strategic initiatives ...

HEB

Data Engineering Manager

San Antonio, TX · On-site

$155K/yr

You will partner closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience, and senior technology leaders to deliver strategic initiatives ...

HEB

Data Engineering Manager

San Antonio, TX · On-site

You will partner closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience, and senior technology leaders to deliver strategic initiatives ...

H.E.B.

Data Engineering Manager

San Antonio, TX · On-site

You will partner closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience, and senior technology leaders to deliver strategic initiatives ...

HEB

Data Engineering Manager

Dallas, TX · On-site

You will partner closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience, and senior technology leaders to deliver strategic initiatives ...

1872 Consulting

Machine Learning Engineer

Austin, TX · On-site

They are seeking a Machine Learning Engineer to be a core contributor to projects and deliver ... Responsibilities : • Integrate and apply Striveworks' proprietary data platform. • Rapidly ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ... Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Construct optimized data pipelines to feed ML models * Leverage continuous integration and ...

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Showing results 41-60

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 Sep 11, 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 is a machine learning data engineer?

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.

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 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 machine learning data engineer become a machine learning engineer?

A machine learning data engineer can transition to a machine learning engineer role by developing skills in model development, algorithms, and deployment, often requiring knowledge of programming languages like Python and frameworks such as TensorFlow or PyTorch. Gaining experience in building and deploying models, along with understanding machine learning concepts, is essential for this career progression.

What is the salary of machine learning data engineer?

The salary of a machine learning data engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools may earn higher compensation.

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 August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Machine Learning Engineer

San Antonio, TX • On-site

Daman Inc
IT Services • 51 - 200 employees
Learn more about Daman Incexternal

Other

Posted 3 days ago

New

Job description

As a part of our Decision Sciences group, you will work with our clients to help define solutions for institutionalizing data-driven decision-making in a cost-effective and scalable manner. The focus is not only on driving analytical outcomes but defining approaches to automate the operationalizing of the predictions within our client applications. The Machine Learning (ML) Engineer, with an interest in a variety of disciplines, will strive to build frameworks and supporting utilities to enhance the experience of our data scientists.

Responsibilities

  • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models. Collaborate with other engineers and data scientists to design high-performance architectures to support the development of machine learning models, data wrangling, and data provisioning pipelines, and metadata-rich data lake repositories.
  • Implement POCs and make recommendations for new ML accelerator tools
  • Build novel A.I. sub-systems and integrate them with the model training and deployment platform
Qualifications

Required Skills:

  • Bachelor’s Degree or foreign equivalent in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering is required
  • Experience with H2O.AI or DataBricks ML platform is desired
  • Experience with AWS or Azure ML stack is desired
  • Experience in using Python, R or Matlab is required
  • Industry experience as a Machine Learning Engineer
  • Knowledge of or experience in building production quality and large-scale deployment of applications related to natural language processing and machine learning.
  • Understanding of Deep Learning and neural networks
  • Statistical background is highly desired
  • 5+ years of relevant experience in building large scale enterprise IT systems
  • 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
  • Strong programming skills in Java, Scala, C++, Python, etc.
  • Bachelor’s Degree or foreign equivalent in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering is required.

Daman Is an Equal Opportunity Employer and All Qualified Applicants Will Receive Consideration for Employment Without Regard to Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status, Or Any Other Characteristic Protected by Law.

Thank you for submitting your application. We will contact you shortly!

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