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Ai Ml Data Engineer Jobs (NOW HIRING)

Reveille Technologies

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

AI ML Data Engineer Location : Sunnyvale, CA (3 days work from office) Minimum 6 to 12 years of experience as data engineer in AI ML. * Snowflake and Python/Scala/Java * SQL, No SQL database, Hadoop ...

Sonny's Enterprises LLC

AI/ML Data Engineer

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The AI/ML Engineer builds, deploys, and supports production forecasting and AI capabilities on top ... This role is accountable for turning trusted enterprise data into production AI and forecasting ...

Sonny's Enterprises LLC

AI/ML Data Engineer

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The AI/ML Engineer builds, deploys, and supports production forecasting and AI capabilities on top ... This role is accountable for turning trusted enterprise data into production AI and forecasting ...

Bright Vision Technologies

ML Data Engineer

Sterling, VA · Remote

$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 ...

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

$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 ...

Accenture LLP

Senior AI/ML & Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

We are looking for an experienced Senior AI/ML and Data Engineer to develop, implement, and maintain sophisticated machine learning, LLM, and enterprise AI solutions for our federal client. The ideal ...

New

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$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 ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$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 ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

Public Storage

Senior AI/ML Data Engineer

Frisco, TX · On-site

$99K - $134K/yr

... ML/AI Platform Engineering -- 20% * Convert prototype notebooks and models into production-grade ... Partner with data scientists, analysts, and engineers to operationalize models, semantic layers ...

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All JobsAi Ml Data Engineer Jobs

Ai Ml Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do ai ml data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai ml data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an AI ML data engineer?

AI/ML Data Engineers are professionals who design, build, and maintain data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) applications. They are responsible for collecting, cleaning, and organizing large datasets, ensuring data quality, and enabling data scientists and ML engineers to develop and deploy models efficiently. Their work often involves using programming languages like Python or Scala, big data technologies, and cloud platforms. In essence, AI/ML Data Engineers bridge the gap between raw data and actionable insights in AI and ML projects.

What are the key skills and qualifications needed to thrive as an AI ML data engineer, and why are they important?

To thrive as an AI/ML Data Engineer, you need a strong background in computer science, proficiency in programming languages like Python or Scala, and experience with data modeling, ETL pipelines, and machine learning concepts. Familiarity with big data tools (such as Hadoop, Spark), cloud platforms (AWS, GCP, Azure), and relevant certifications like Google Professional Data Engineer or AWS Certified Machine Learning are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively within cross-functional teams and translate business needs into technical solutions. These skills ensure you can efficiently build scalable data architectures and support robust AI/ML solutions that drive business innovation.

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

AspectAi Ml Data EngineerData Scientist
Primary FocusBuilding data pipelines, deploying ML models, managing data infrastructureAnalyzing data, developing models, deriving insights
Skills & CertificationsProgramming (Python, SQL), cloud platforms, data engineering toolsStatistics, machine learning, data analysis, Python/R
Work EnvironmentData engineering teams, cloud environments, big data platformsResearch teams, analytics departments, business units

While both roles involve working with data and machine learning, Ai Ml Data Engineers focus on building and maintaining data pipelines and deploying models, whereas Data Scientists primarily analyze data and develop predictive models. The roles often collaborate but serve different functions within data projects.

What are some common challenges faced by AI ML data engineers when working on large-scale machine learning projects?

AI/ML Data Engineers often encounter challenges such as managing and optimizing massive datasets, ensuring data quality and consistency, and maintaining efficient data pipelines. They must also handle the integration of diverse data sources and collaborate closely with data scientists and software engineers to deploy machine learning models into production. Addressing scalability and performance bottlenecks is a frequent part of the role, requiring strong problem-solving skills and familiarity with distributed computing frameworks.
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Ai Ml Data Engineer jobs near you
Infographic showing various Ai Ml Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI ML Data Engineer

Donato Technologies, Inc

Sunnyvale, CA • On-site

$56/hr

Contractor

Re-posted 9 days ago

Job description

Job Summary:

We are seeking a skilled Data Engineer with AI and ML experience for Sunnyvale, CA location.

 

Experience Required:

Minimum 6 to 8 years of experience as data engineer in AI ML.

Skills Needed:

  • Snowflake and Python/Scala/Java
  • SQL, No SQL database, Hadoop, Spark
  • ETL Tools, Informatica
  • Tableau
  • AI & ML

Qualifications:

  • Bachelor’s degree in computer science, or a related field.
  • 6 to 8 years of hands-on experience as Data Engineer.
  • Proficiency in BI concepts and implementation experience on Cloud with Snowflake.
  • Programming experience in building high-quality software with at least one of the following programming languages - Python, Scala or Java.
  • Knowledge of Database Management systems, both relational (e.g., SQL, PostgreSQL) and non-relational (e.g., MongoDB, Cassandra).
  • Experience in Data Visualization Tools – Tableau.
  • Familiarity with data integration and ETL tools, such as Talend, Informatica
  • Experience in Machine Learning, with emphasis on Large Language Models (LLMs) and Generative AI.

Technical Skills:

  • Snowflake and Python or Scala or Java - Advanced
  • SQL, No SQL database, Hadoop, Spark – Advanced
  • ETL Tools, Informatica – Advanced
  • Tableau – Intermediate
  • AI ML - Intermediate

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.