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Remote Data Engineering Jobs in Trenton, NJ (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Philadelphia, PA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Philadelphia, PA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

First Citizens Bank

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

First Citizens Bank

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

YO AI Labs

Product Owner - Remote

Philadelphia, PA · Remote

$120 - $200/hr

Remote Role Summary We are seeking a strong Product Owner to work with engineering, data, and ... Experience with AI, data, developer tools, or technology products is highly relevant. What You'll ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Trenton, NJ

Remote Data Engineering information

See Trenton, NJ salary details

$44.6K

$130.1K

$178K

How much do remote data engineering jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data engineering in Trenton, NJ is $130,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,900.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are popular job titles related to Remote Data Engineering jobs in Trenton, NJ?

For Remote Data Engineering jobs in Trenton, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Trenton, NJ look for?

The top searched job categories for Remote Data Engineering jobs in Trenton, NJ are:

What cities near Trenton, NJ are hiring for Remote Data Engineering jobs?

Cities near Trenton, NJ with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Trenton, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $130,074 per year, or $62.5 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$100 - $200/hr

Part-time

Posted 27 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.