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Remote Ai Data Engineer Jobs in Hackensack, NJ (NOW HIRING)

Data Engineer

Manhattan, NY · Remote

$140K - $190K/yr

... AI systems by ensuring that data is trustworthy, accessible, and fit for purpose ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

... AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly ... Data Engineer II LOCATION: REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice ...

Posted today

Showing results 21-40

Remote Ai Data Engineer information

See Hackensack, NJ salary details

$48.5K

$141.5K

$193.6K

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

As of Aug 21, 2026, the average yearly pay for remote ai data engineer in Hackensack, NJ is $141,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

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

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are popular job titles related to Remote Ai Data Engineer jobs in Hackensack, NJ?

For Remote Ai Data Engineer jobs in Hackensack, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Hackensack, NJ look for?

The top searched job categories for Remote Ai Data Engineer jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Remote Ai Data Engineer jobs?

Cities near Hackensack, NJ with the most Remote Ai Data Engineer job openings:

Infographic showing various Remote Ai Data Engineer job openings in Hackensack, NJ as of August 2026, with employment types broken down into 68% Full Time, 11% Part Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $141,475 per year, or $68 per hour.

Data Engineer - Fully Remote | Upto $80/hr

Mercor

New York, NY • Remote

$80/hr

Full-time

Posted 9 hours ago

Posted today


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Engineer (Coding Agent Experience)
Type: Contract
Compensation: $80/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional data engineering experience.
  • Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated data infrastructure and pipeline implementations.

Preferred

  • Experience operating large-scale data platforms.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.