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Data Engineer Entry Level Jobs in New Jersey (NOW HIRING)

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Entry-Level AI Engineer -- Job Title: AI Engineer - Entry Level / Junior AI Engineer Full-Time ... Collaborate with software engineers, data scientists, and product teams. * Document models ...

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Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

... data; * Observe foundation and earthwork construction activities; monitors conformance with the construction documents; * Identify and implement solutions to both routine and complex field and/or ...

Description CME Associates is seeking a motivated and detail-oriented Entry-Level Civil Engineer to ... Conduct fieldwork, site investigations, and surveys to gather data for engineering assessments and ...

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Data Engineer Entry Level information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do data engineer entry level jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer entry level 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 does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in New Jersey?

The most popular types of Data Engineer jobs in New Jersey are:

What are popular job titles related to Data Engineer Entry Level jobs in New Jersey?

For Data Engineer Entry Level jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Engineer Entry Level jobs in New Jersey look for?

The top searched job categories for Data Engineer Entry Level jobs in New Jersey are:

What cities in New Jersey are hiring for Data Engineer Entry Level jobs?

Cities in New Jersey with the most Data Engineer Entry Level job openings:

Infographic showing various Data Engineer Entry Level 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.

Artificial Engineer - Entry Level

Tech Consulting

Newark, NJ • On-site

$30 - $40/hr

Full-time

Medical, Dental, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Entry-Level AI Engineer — Job Description

Job Title: AI Engineer – Entry Level / Junior AI Engineer

Full-Time

Candidate must be open to relocate


Role Overview:

We are looking for an enthusiastic Entry-Level AI Engineer to help design, develop, test, and deploy AI and machine-learning solutions. The ideal candidate has a strong foundation in Python, machine learning, and software development and is eager to work with modern AI technologies such as LLMs and generative AI.


Responsibilities

  • Develop and maintain machine-learning and AI applications.
  • Prepare, clean, and analyze datasets.
  • Train, evaluate, and improve ML models.
  • Work with LLMs, embeddings, RAG, and AI APIs.
  • Build APIs and integrate AI models into applications.
  • Write clean, maintainable Python code.
  • Test, debug, and optimize AI applications.
  • Collaborate with software engineers, data scientists, and product teams.
  • Document models, experiments, and technical solutions.
  • Stay current with emerging AI/ML technologies.


Required Skills

  • Strong Python programming fundamentals.
  • Basic understanding of machine learning and deep learning.
  • Familiarity with NumPy, pandas, scikit-learn, and preferably PyTorch or TensorFlow.
  • Understanding of SQL and databases.
  • Familiarity with Git/GitHub.
  • Basic knowledge of REST APIs.
  • Understanding of LLMs and generative AI is a plus.
  • Good problem-solving and communication skills.


Preferred Qualifications

  • Bachelor's degree in computer science, AI, Data Science, Engineering, or a related field.
  • Internship, academic, or personal AI/ML projects.
  • Experience deploying a project using Docker or a cloud platform is a plus.
  • GitHub portfolio demonstrating AI/ML projects.


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