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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 ...

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to Design, develop, and implement enterprise ML products and platforms for data ...

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

$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 ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... data warehouse platform using the Snowpark framework Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous ...

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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 10, 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
GCP Data Engineer

GCP Data Engineer

IT America Inc

Richardson, TX • On-site

$104K - $124K/yr

Contractor

Re-posted 3 days ago

Job description

Position: GCP Data Engineer

Location: Richardson, TX

Duration: Long term contract

Interview: F2F (Face to Face)/Onsite

Job Summary:

We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions. The ideal candidate will have hands-on expertise with GCP services, ETL/ELT processes, and big data technologies, enabling the delivery of scalable and high-performance data solutions.

Key Responsibilities:

  • Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP services such as BigQuery, Dataflow, Pub/Sub, Data Fusion, Dataproc, and Cloud Storage.
  • Build and optimize data warehouses and data lakes on GCP.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver data models that meet business needs.
  • Implement data quality, governance, and security best practices.
  • Monitor and troubleshoot pipeline performance using Cloud Monitoring and Cloud Logging.
  • Automate data workflows and improve efficiency using Python, SQL, and scripting tools.
  • Stay updated on emerging GCP services and recommend adoption where beneficial.

Required Skills & Qualifications:

  • Bachelor’s degree in Computer Science, Data Engineering, or related field.
  • 5+ years of experience as a Data Engineer with hands-on GCP experience.
  • Strong skills in SQL and Python.
  • Experience with BigQuery and at least two of the following: Dataflow, Pub/Sub, Data Fusion, Dataproc, Cloud Composer.
  • Knowledge of data modeling, data warehousing, and big data architectures.
  • Experience with batch and streaming data processing.
  • Understanding of IAM, data security, and compliance requirements.

Preferred Qualifications:

  • GCP Professional Data Engineer or Associate Cloud Engineer certification.
  • Experience with Apache Beam, Kafka, or similar streaming frameworks.
  • Familiarity with CI/CD pipelines for data engineering workflows.
  • Exposure to machine learning data preparation pipelines.