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Data Engineer Ml Jobs (NOW HIRING)

Nastech Global

AI/ML Engineer

Irving, TX · On-site

Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and understanding of AL/ML models to implement AL/ML models in OnPrem and ...

Tata Consultancy Service Limited

ML Engineer

Irving, TX · On-site

$125K - $140K/yr

Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and understanding of AL/ML models to implement AL/ML models in OnPrem and ...

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA

$58 - $60/hr

DATA Engineer - GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid ... AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

EssilorLuxottica

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

Essilor

Data & ML Engineer

Dallas, TX

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

Essilor

Data & ML Engineer

Mason, OH

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

EssilorLuxottica Group

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML ... You will work closely with data scientists, engineers, and product teams to drive innovation and ...

Dynatron Software

Sr. Data Engineer

Richardson, TX · Remote

$104K - $124K/yr

Engineering for ML/AI * Engineer ML-ready datasets and manage Feature Stores to support the Data Science team. * Operationalize ML workflows, integrating with services like Snowflake Cortex ...

Bright Vision Technologies

ML Data Engineer

Ashburn, VA · Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

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All JobsData Engineer Ml Jobs

Data Engineer Ml information

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$46K

$165K

$243.5K

How much do data engineer ml jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineer ml in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer ML, and why are they important?

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.

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 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.

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.
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Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI/ML Engineer

Nastech Global

Irving, TX • On-site

Full-time

Re-posted 9 days ago

Job description

Job Title: AI/ML Engineer
Location: Irving, TX(Onsite)
Job Type: Full Time
 
Job Description
Job Title: Data Engineer -ML
We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and 
understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment. 
In this role, you will be responsible for implementing AL/ML Models in different environments leveraging 
Openshift/Kubernetics.
Qualifications:
Strong experience in PySpark and Python to integrate with AI/ML Models.
Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.
Familiarity with ML Ops/LLM Ops and distributed systems.
Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
Solid understanding of system design patterns, scalability, observability, and performance tuning.
Strong analytical and problem-solving skills.
Passion for exploring and building with emerging technologies.