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Data Engineer Ml Jobs in Texas (NOW HIRING)

Incedo Inc

Hadoop Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Collaborate with Data Science and ML Engineering teams to align features with use cases * Contribute to feature store architecture and standards * Mentor Feature Engineers and promote engineering ...

Vizient

Data Engineer

Irving, TX

$77K - $135K/yr

Support AI/ML initiatives by developing and maintaining data pipelines and feature datasets used ... Partner with application developers, data engineers, BI teams, and analytics partners to deliver ...

Ascentt

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. They are looking for a passionate Data Engineer to build scalable data ...

General Motors

Agentic Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

The Role The Agentic Data Engineer is a preeminent technical expert who designs, builds, and scales ... Design and lead implementation of agentic workflows that use LLMs, rules engines, and ML models to:

3B Staffing LLC

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Data Engineer (Contract)- 5 new contract openings * Location: Onsite 2 days a week * Irving, TX or ... Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on GCP. * Experience working in the ...

General Motors

Agentic Data Engineer

Austin, TX · On-site

$248 - $315/hr

You will combine deep vehicle product engineering/process understanding with modern data engineering, large-scale distributed systems, and AI/ML literacy to create self‐healing, "agentic" data and ...

3B Staffing LLC

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Data Engineer (Contract)- 5 new contract openings * Location: Onsite 2 days a week * Irving, TX or ... Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on GCP. * Experience working in the ...

General Motors

Agentic Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Role The Agentic Data Engineer is a pre-eminent technical expert who designs, builds, and ... Design and lead implementation of agentic workflows that use LLMs, rules engines, and ML models to:

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

They are seeking an AI Data Engineer with expertise in data structures and AI/ML workflows, responsible for designing data pipelines, integrating AI analytics, and collaborating with data modelers to ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Expedia

Senior AI / ML Data Engineer - Layla AI

Austin, TX

$105K - $142K/yr

As a Senior AI / ML Data Engineer, you will build the data foundations that power Layla's AI-native travel experiences - the reliable pipelines, high-quality datasets, and experimentation and ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Inficare Technologies

Lead Data Engineer

Lake Dallas, TX · On-site

$111K - $133K/yr

Lead Data Engineer Location: Dallas, TX (Onsite) Job Type: Contract Duration: 12 Months Experience ... Design AI-ready data architectures supporting ML, GenAI, RAG, vector databases, and Agentic AI

Hired Recruiters

Data Engineer

Austin, TX · On-site

$150K - $200K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud service, data pipelines and ML platform. The role will involve end-to-end development: from helping ...

Hired Recruiters

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud service, data pipelines and ML platform. The role will involve end-to-end development: from helping ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Texas

Data Engineer Ml information

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in Texas?

For Data Engineer Ml jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in Texas look for?

The top searched job categories for Data Engineer Ml jobs in Texas are:

What cities in Texas are hiring for Data Engineer Ml jobs?

Cities in Texas with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Hadoop Data Engineer

Incedo Inc

Dallas, TX • On-site

$113K - $136K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Sr. Feature Engineer

Dallas,TX/ Pittsburgh, PA / Clevland OH

Tech:
Data Engineering/Pipeline
MLOps Engineering/Pipeline
OpenShift
Git
Linux

Programming language:
Python
SQL
Spark
Hive

Title

Job Description

Skillsets

Typical Experience

Feature Engineer (Sr)

  • Design and implement scalable, reusable feature pipelines (batch and real-time)
  • Develop complex feature transformations and advanced data modeling logic
  • Optimize feature performance, latency, and cost efficiency
  • Ensure feature quality, validation, and SLAs (freshness, accuracy, reliability)
  • Collaborate with Data Science and ML Engineering teams to align features with use cases
  • Contribute to feature store architecture and standards
  • Mentor Feature Engineers and promote engineering best practices
  • Support production deployment, monitoring, and incident resolution

Technical Skills

Programming: Advanced Python and SQL

Distributed Processing: Spark / Flink (large-scale data processing)

Feature Engineering: Advanced transformations, feature design patterns

Data Modeling: Complex transformations, aggregation strategies

Feature Stores: Hands-on with platforms such as Hopsworks, Feast, SageMaker

ML Lifecycle Understanding: Feature importance, model input optimization

Data Quality & Validation: Drift detection, validation frameworks

Platform & Engineering

CI/CD pipelines and automated testing

Cloud platforms (Azure / AWS / Google Cloud Platform)

Monitoring, observability, and production debugging

Performance tuning and scalability optimization

Soft Skills

Technical leadership and mentoring

Cross-team collaboration (Data Science, MLOps, Platform)

Strong problem-solving and optimization mindset

Ability to translate business use cases into feature logic

  • 3 10+ years in Data Engineering, Feature Engineering, or ML Engineering
  • Proven experience designing production-grade data/feature pipelines
  • Strong track record in scalable distributed data systems
  • Experience working in enterprise AI/ML platforms or feature stores
  • Prior mentoring or technical leadership experience

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