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Machine Learning Data Engineer Jobs in New Jersey

AvePoint

Senior Machine Learning Analyst

Jersey City, NJ · On-site

$190K - $220K/yr

Proactively identify and remove barriers to execution across data, engineering, and product ... Strong proficiency in AI technologies, machine learning, and deep learning frameworks. * Previous ...

RWJBarnabas Health

AI Data Engineer II

Oceanport, NJ · On-site

$75K - $106K/yr

Work Experience: o Mid-level experience in AI Data Engineering, machine learning engineering, data science engineering, software engineering, or a similar technical role. o Experience developing and ...

RWJBarnabas Health

AI Data Engineer II

Oceanport, NJ · On-site

$75K - $106K/yr

Work Experience: o Mid-level experience in AI Data Engineering, machine learning engineering, data science engineering, software engineering, or a similar technical role. o Experience developing and ...

Deloitte

Databricks Data Engineer

Morristown, NJ

$117K - $141K/yr

Experience supporting analytics or machine learning data pipelines * Experience working in ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ

$127K - $168K/yr

You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. What you'd be doing:

Damco Solutions

Senior Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Support and implement machine learning workflows using Azure ML, Databricks ML , or open-source frameworks * Stay current with emerging technologies in data engineering, analytics, and AI Required ...

Deloitte

AI Data Engineer - Manager

Morristown, NJ · On-site

$117K - $141K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

Technology - Data Analytics & Management Are you interested in building capabilities that enable ... As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data ...

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All JobsMachine Learning Data Engineer JobsMachine Learning Data Engineer Jobs in New Jersey

Machine Learning Data Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do machine learning data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for machine learning data engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

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.

Can a data engineer become a machine learning engineer?

A data engineer can transition to a machine learning engineer role by gaining knowledge of machine learning algorithms, model development, and deployment techniques. Skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and understanding of data pipelines are essential for this progression.

Which 5 jobs will survive AI?

Machine Learning Data Engineers are likely to continue to be in demand as AI advances because they develop and maintain the data pipelines and models essential for AI systems. Roles that require complex problem-solving, creativity, and human judgment, such as healthcare professionals, educators, skilled trades, and certain managerial positions, are also expected to persist despite AI automation. These jobs often involve tasks that are difficult for AI to replicate fully.

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 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 $500,000?

Senior machine learning data engineers with extensive experience, advanced skills in data pipelines, cloud platforms, and machine learning frameworks can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level typically requires a combination of technical expertise, leadership roles, and often stock options or bonuses.

Is ML a high paying job?

Machine Learning Data Engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming, data modeling, and machine learning frameworks. Salaries vary by experience, location, and industry, but overall, the role is considered well-compensated within the tech field.
What are popular job titles related to Machine Learning Data Engineer jobs in New Jersey? For Machine Learning Data Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Machine Learning Data Engineer jobs in New Jersey look for? The top searched job categories for Machine Learning Data Engineer jobs in New Jersey are:
Machine Learning Data Engineer jobs near you
Infographic showing various Machine Learning Data Engineer job openings in New Jersey as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 42% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Machine Learning Engineer

Seven Seven Software

Newark, NJ • On-site

Contractor

Posted 2 days ago

Job description

• Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
• Design and implement Machine learning models and data ingestion pipelines.
• Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models.
• Expand and optimize data pipelines, data flow, and collection for cross functional teams.
• Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
• Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
• Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
• Implement Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS SageMaker environment
• Experience in container, streaming and messaging technologies is a plus
• Advanced proficiency with Python framework, Java and Scala
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• Good understanding of mathematics, statistics, and algorithms.
• Excellent analytical and problem-solving abilities.
• Great communication and collaboration skills.
Job Requirements

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