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Ai Ml Data Engineer Jobs (NOW HIRING)

Reveille Technologies

AI ML Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Hi, Title: AI ML Data Engineer Location : Sunnyvale, CA (3 days work from office) Need Local Candidates - In Person Interview Must Skills Needed: * Snowflake and Python/Scala/Java * SQL, No SQL ...

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

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

$114K - $137K/yr

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

Herndon, 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 ...

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 · 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 ...

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 ...

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 ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$129K - $155K/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, ensuring data availability ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$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 ...

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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 Jul 25, 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 are AI/ML Data Engineers?

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.
More about Ai Ml Data Engineer jobs
What cities are hiring for Ai Ml Data Engineer jobs? Cities with the most Ai Ml Data Engineer job openings:
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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 July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AI ML Data Engineer

AI ML Data Engineer

Reveille Technologies

Sunnyvale, CA • On-site

$136K - $163K/yr

Other

Posted 3 days ago

Job description

Hi,
Title: AI ML Data Engineer Location : Sunnyvale, CA (3 days work from office)
 Need Local Candidates - In Person Interview Must

Skills Needed:
  • Snowflake and Python/Scala/Java
  • SQL, No SQL database, Hadoop, Spark
  • ETL Tools, Informatica
  • Tableau
  • AI & ML
Thanks & Regards,
Preethi S
Reveille Technologies Inc.,

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