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Machine Learning Data Engineer Jobs in Texas (NOW HIRING)

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124.90K/yr

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

Raas Infotek LLC

Data Engineer

Texas City, TX

$98K - $117.70K/yr

Job Title: Senior Data Engineer Job Summary We are seeking a highly experienced Senior Data ... Exposure to machine learning data pipelines * Certification in cloud platforms (AWS/Azure/Google ...

New

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/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 - $137.30K/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 ...

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 ...

Cymertek

Machine Learning Engineer

San Antonio, TX

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

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on ...

Topgolf

Data Engineer II

Dallas, TX · On-site

$105.40K - $126.50K/yr

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

Pluralsight, LLC

Machine Learning Engineer

Westlake, TX · On-site

$160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Work closely with Data Scientists to take prototype algorithms and models and turn them into ...

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX

$120K - $550K/yr

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they ...

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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 May 30, 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 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 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.

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 $300,000 a year?

Senior machine learning data engineers with extensive experience, advanced skills in data pipelines, cloud platforms, and programming languages like Python or Scala can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or work at large tech companies and financial institutions.
More about Machine Learning Data Engineer jobs
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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 - $124.90K/yr

Contractor

Posted 22 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.