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Manager Ai Data Engineer Jobs in East Rutherford, NJ

Lead Generative AI Data Engineer III

New York, NY · On-site

$112K - $147K/yr

Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team. * Develop and oversee data pipelines, model ...

Senior AI Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration ... Support the management and optimization of databases, including data warehousing solutions. b.

AI & Data Systems Engineer

New York, NY · On-site

$125K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... managers on a massive scale through a wide variety of alternative investment products and ... The AI & Data Systems Engineer joins the Business Transformation (BT) team as its technical ...

AI & Data Systems Engineer

New York, NY · On-site

$125K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... asset managers on a massive scale througha wide variety of alternative investment products and ... The AI & Data Systems Engineer joins the Business Transformation (BT) team as its technical ...

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

They are seeking a Data Engineer Manager to design and implement data pipelines, ensuring high-quality data input for AI solutions and collaborating with various teams to enhance data engineering ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Supporting roles include Data Engineers who will collaborate to build models, manage data pipelines ... Develop and deploy AI/ML models, including propensity modeling. * Drive data engineering ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... AI solutions depend on. This includes building ingestion pipelines, managing data stores ...

Data Engineer

Manhattan, NY · On-site

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... AI solutions depend on. This includes building ingestion pipelines, managing data stores ...

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

The role involves designing and implementing data pipelines, establishing best practices for data engineering, and collaborating with AI teams to enhance data schemas for AI solutions.

Agentic AI Data Architect

New York, NY · Hybrid

$69.75 - $89.75/hr

... layer, prompt management and evaluation * Have a deep understanding of Agentic coding and best ... Guide engineers (AI, data, full-stack) and ensure alignment with architecture * Drive technical ...

Data Engineer

New York, NY · On-site

$188K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end ... Own data quality end-to-end: schema management, freshness monitoring, lineage tracking, and ...

Showing results 21-40

Manager Ai Data Engineer information

See East Rutherford, NJ salary details

$45.3K

$132.2K

$180.8K

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

As of Aug 13, 2026, the average yearly pay for manager ai data engineer in East Rutherford, NJ is $132,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,100.00 per year, depending on experience, location, and employer.

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

AspectManager Ai Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering, or related; certifications in cloud platforms or data toolsBachelor's/Master's in CS, Statistics, or related; certifications in data analysis or machine learning
Work EnvironmentLeads data engineering teams, manages data pipelines, and collaborates with AI teamsAnalyzes data, builds models, and interprets data insights
Employer & Industry UsageTech companies, finance, healthcare focusing on data infrastructure and AI projectsResearch institutions, tech firms, marketing, and analytics departments

The Manager Ai Data Engineer primarily oversees data engineering teams and infrastructure for AI projects, while Data Scientists focus on analyzing data and building predictive models. Both roles require strong technical skills, but their responsibilities differ in scope and focus within the data ecosystem.

What job categories do people searching Manager Ai Data Engineer jobs in East Rutherford, NJ look for?

The top searched job categories for Manager Ai Data Engineer jobs in East Rutherford, NJ are:

What cities near East Rutherford, NJ are hiring for Manager Ai Data Engineer jobs?

Cities near East Rutherford, NJ with the most Manager Ai Data Engineer job openings:

Infographic showing various Manager Ai Data Engineer job openings in East Rutherford, NJ as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $132,162 per year, or $63.5 per hour.

Lead Generative AI Data Engineer III

Deloitte

New York, NY • On-site

$112K - $147K/yr

Full-time

Re-posted 29 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description


Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the Federal Health space
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.
Compensation

The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the Federal Health space
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.
Compensation

The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

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