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Machine Learning Data Engineer Jobs in New Jersey

NJ · On-site

$130 - $170/hr

Proven expertise in Data Science and/or Machine Learning Engineering. * Advanced proficiency in Python (Production-grade) and SQL. * Hands-on experience with Airflow for orchestration and dbt for ...

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As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Own the full machine learning lifecycle, from data preparation and model training through ...

Data Engineer

Pennington, NJ · On-site

$115K - $138K/yr

RIT Solutions, Inc. is seeking a Data Engineer to work on data-centric AI projects. The role ... Python programming • Exposure to Machine Learning project Company : Jobdiva Job Portal:

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 ...

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Wells Fargo is seeking a Data Engineer in Cybersecurity as part of Identity Access Management ... Develop and evaluate machine learning models using classification, clustering, and unsupervised ...

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Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional experience in Data Engineering or a related technical field * Strong SQL skills including joins ...

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Showing results 1-20

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 Aug 28, 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 is a machine learning data engineer?

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 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 machine learning data engineer become a machine learning engineer?

A machine learning data engineer can transition to a machine learning engineer role by developing skills in model development, algorithms, and deployment, often requiring knowledge of programming languages like Python and frameworks such as TensorFlow or PyTorch. Gaining experience in building and deploying models, along with understanding machine learning concepts, is essential for this career progression.

What is the salary of machine learning data engineer?

The salary of a machine learning data engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools may earn higher compensation.
Infographic showing various Machine Learning Data Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Senior Machine Learning Engineer

Jersey City, NJ

AvePoint
Software Development • 1 - 5K employees

$190K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

About AvePoint: 

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint's global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!

About the role: 

We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real-world business challenges. Your efforts will help optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint. 

Key responsibilities: 

  • Solution Design: Design, build, and deploy machine learning models leveraging structured and unstructured data that align with the overall SaaS product strategy. Collaborate with stakeholders to understand business requirements and translate them into AI-based functionalities. Drive holistic end-to-end AI architecture from data pipeline to LLM to platform components to application integration. 
  • System Integration: Architect the integration of AI components into the existing SaaS infrastructure, ensuring scalability, reliability, and optimal performance. Collaborate with development teams to implement these integrations effectively. 
  • Data Management: Design data pipelines and storage solutions for handling large volumes of data required for AI models. Ensure data security, privacy, and compliance with relevant regulations. 
  • Scalability and Performance Optimization: Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resource utilization. 
  • Security and Compliance: Implement security measures to safeguard AI models and data. Ensure compliance with relevant industry standards and regulations. Develop guidance for the use of AI in product and internal tooling. 
  • Execution & Adoption Ownership: Proactively identify and remove barriers to execution across data, engineering, and product workflows to ensure timely delivery of AI solutions. Serve as a steward of adoption by partnering with product, engineering, and go-to-market teams to ensure solutions are usable, measurable, and successfully adopted by end users and customers. 

The ideal candidate has: 

  • 5+ years of experience working as an engineer or architect with a focus on one or more of the following: machine learning, data science or natural language processing 
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. 
  • Preferably worked on enriching SaaS products with AI/ML functionalities 
  • Strong proficiency in AI technologies, machine learning, and deep learning frameworks. 
  • Previous experience determining measurable, revenue generating or business solving outcomes and showing how AI can drive these. 
  • Strategic thinking skills including the ability to lead and resolve company-wide technical discussions. Excellence at creating clarity and alignment for technical initiatives, in close partnership with our product management team. 
  • Great ability to build trust through collaboration with multiple teams, articulate a vision, build consensus, and get hands-on to drive implementation. 

Benefits We Offer  

  • Competitive market-based compensation (salary, yearly bonus + equity).  
  • Career progression and internal mobility opportunities.  
  • Work-life balance through a hybrid working model.  
  • Unlimited PTO. 

This role offers the opportunity to work at the intersection of machine learning innovation and industry impact, contributing to AvePoint's vision for secure, intelligent, and data-driven workplaces. 

If you are passionate about transforming data into actionable solutions and want to be part of a global tech leader, we want to hear from you! 

The Salary Range for this role is $190,000 - $220,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.