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Entry Level Ai Data Engineer Jobs in Edison, NJ (NOW HIRING)

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

Mercor

Data Engineer - AI Coding Expert

New York, NY · Remote

$80/hr

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 ...

Actively AI

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About Actively AI Actively AI is defining a new category: Intelligence-Led Revenue. Revenue ... You'll work at the intersection of data engineering, analysis, and product thinking - building the ...

Profound

Data Engineer

New York, NY · On-site

$140K - $260K/yr

The way brands reach people is being rewritten - AI models like ChatGPT, Perplexity, and Google AI ... We are looking for an experienced Data Engineer to own and scale our data platform. You will ...

Deloitte

Data Engineer II

Jersey City, NJ

$119K - $143K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Work You'll Do As a Data Engineer II on the team, you will: * Work directly with data scientists ...

Deloitte

Data Engineer II

Jersey City, NJ

$119K - $143K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Work You'll Do As a Data Engineer III on the team, you will: * Work directly with data scientists ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and ... Knowledge of Generative AI concepts (such as RAG, Vector embeddings, Model fine tuning, Agentic AI)

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in ... Knowledge of Generative AI concepts (such as RAG, Vector embeddings, Model fine tuning, Agentic AI)

Deloitte

Data Engineer II

Jersey City, NJ · On-site

$119K - $143K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Deloitte

Data Engineer II

Jersey City, NJ · On-site

$119K - $143K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Tech Consulting

Be Seen First

Big Data Engineer

New York, NY · On-site

$30 - $40/hr

Entry-Level Data Engineer Job Title: Entry-Level Data Engineer Location: Candidate must be open relocate. Employment Type: Full-time Job Summary We are looking for a motivated Entry-Level Data ...

T Rowe Price

AI Data Scientist

Manhattan, NY · Hybrid

At T. Rowe Price, our Data Scientists develop the analytics and AI solutions that drive better ... Preferred: * Experience with AI/Generative AI (LLMs, RAG, prompt engineering/evaluation)

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All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in Edison, NJ

Entry Level Ai Data Engineer information

See Edison, NJ salary details

$46.1K

$134.3K

$183.8K

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

As of Aug 4, 2026, the average yearly pay for entry level ai data engineer in Edison, NJ is $134,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $142,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

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

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

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

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

Can you be an entry level AI data engineer with no experience?

Entry level AI data engineer roles typically require some foundational knowledge of programming, data management, and machine learning concepts, but many employers are open to candidates with limited experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or internships can improve your chances of qualifying for such positions. Practical experience with tools like Python, SQL, and cloud platforms is often beneficial even at the entry level.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, and gain experience with data processing tools such as Apache Spark or Hadoop. Building a strong foundation in databases, data modeling, and machine learning concepts, along with relevant certifications or coursework, can improve your chances of securing an entry-level position.

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.
What are the most commonly searched types of Ai Data Engineer jobs in Edison, NJ? The most popular types of Ai Data Engineer jobs in Edison, NJ are:
What are popular job titles related to Entry Level Ai Data Engineer jobs in Edison, NJ? For Entry Level Ai Data Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Engineer jobs in Edison, NJ look for? The top searched job categories for Entry Level Ai Data Engineer jobs in Edison, NJ are:
Entry Level Ai Data Engineer jobs near you
Infographic showing various Entry Level Ai Data Engineer job openings in Edison, NJ as of July 2026, with employment types broken down into 69% Full Time, 22% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $134,289 per year, or $64.6 per hour.

AI Data Engineer

C the Signs

New York, NY • On-site, Remote

$125K - $150K/yr

Other

Re-posted 8 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply