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Machine Learning Data Engineer Jobs in Texas (NOW HIRING)

Compunnel

Machine Learning Engineer

Plano, TX · On-site

This role will focus on building ML-ready data architectures, developing scalable machine learning ... Create scalable feature engineering workflows and production-grade machine learning assets.

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 ...

Topgolf

Data Engineer II

Dallas, TX

$113K - $136K/yr

Data Engineer II We are seeking a Data Engineer II to design, build, and maintain scalable data ... Prepare and deliver datasets for machine learning models for Forecasting usecases. * Implement CI ...

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 ...

TECHOAUTH SOLUTIONS LLC

Senior Data Engineer

Fort Worth, TX · On-site +1

$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 Jun 19, 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.

Which 5 jobs will survive AI?

Machine Learning Data Engineers are likely to continue to be in demand as AI advances because they develop and maintain the data pipelines and models essential for AI systems. Roles that require complex problem-solving, creativity, and human judgment, such as healthcare professionals, educators, skilled trades, and certain managerial positions, are also expected to persist despite AI automation. These jobs often involve tasks that are difficult for AI to replicate fully.

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.

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 pipelines, cloud platforms, and machine learning frameworks can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level typically requires a combination of technical expertise, leadership roles, and often stock options or bonuses.

Is ML a high paying job?

Machine Learning Data Engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming, data modeling, and machine learning frameworks. Salaries vary by experience, location, and industry, but overall, the role is considered well-compensated within the tech field.
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 June 2026, with employment types broken down into 56% Full Time, 39% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Machine Learning Data Engineer

Machine Learning Data Engineer

HonorVet Technologies

Dallas, TX • Hybrid

$113K - $136K/yr

Other

Posted 3 days ago

Job description

Position: Machine Learning Data Engineer
Location: Hybrid 2 days/week in Dallas, TX or Boston, MA
Duration: 3+ month contract; Strong potential for extension
Only W2
Overview:
Our client in the commercial banking domain is hiring two Machine Learning Data Engineers to support a high-impact initiative within the Data Quality Team. One role will focus on solution architecture, requiring experience implementing a full machine learning framework. The second will be more of an Engineer/Business Analyst hybrid, supporting the lead architect and contributing to model development and automation efforts.
These roles are part of a strategic effort to automate the review of over 25,000 data quality rules currently being manually aggregated and analyzed. The goal is to build and implement a prototype ML model by year-end, so candidates must be available for a fast-paced delivery timeline (no extended time off planned in December).
Project Scope:
  • Automate the rule review process currently handled manually using Informatica IDQ, with a transition toward Snowflake.
  • Develop and deploy a Machine Learning model to analyze rule pass/fail outcomes.
  • Improve efficiency by reducing manual resource dependency through intelligent automation.

Responsibilities:
  • Follow the company's software development lifecycle to design, code, configure, test, debug, and document system and application programs.
  • Prepare technical design specifications based on functional requirements and analysis documents.
  • Participate in architecture, design, and code reviews.
  • Collaborate with development staff to ensure quality and consistency.
  • Develop and maintain operational and system-level documentation.
  • Build and implement a prototype ML model with a quick turnaround.
  • Support scalable API integrations between internal and external systems (nice to have).

Core Requirements:
  • Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
  • Proficient in Python and/or R for data analysis and model development.
  • Experience with ML/AI programming and modern machine learning standards.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and services like Lambda, S3, Azure Functions, BigQuery.
  • Familiarity with automation frameworks (e.g., Power Automate, Python scripting).
  • Understanding of data quality, management, and governance concepts.
  • Experience with Web Application Server enhancements and infrastructure standards.

Preferred Qualifications (Nice-to-Haves):
  • Experience with Informatica IDQ.
  • Familiarity with Snowflake ML libraries or programming extensions.
  • Background in designing and implementing scalable API integrations.

Soft Skills:
  • Highly motivated, proactive, and collaborative team player.
  • Able to work independently and meet tight deadlines.
  • Strong communication and problem-solving skills.
HonorVet Technologies logo

About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015

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