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Data Engineer Entry Level Jobs in Hackensack, NJ

Tech Consulting

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Junior Data Analyst

New York, NY · On-site

$30 - $40/hr

Entry-Level Software Developer (Data Engineering Focus) Full-Time Atlanta, GA (Relocation expenses will be covered by Tech-Consulting) About the Role We are seeking an Entry-Level Software Developer ...

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Pwc

AI Engineer

New York, NY · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

Florham Park, NJ · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Hadronts

Entry Level Java developer

Jersey City, NJ

... to work with you. Entry Level Java developer We are looking for a motivated and confident ... Perform data analysis to support internal and external project needs. Design basic programs for ...

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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Hackensack, NJ

Data Engineer Entry Level information

See Hackensack, NJ salary details

$48.5K

$141.5K

$193.6K

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

As of Aug 6, 2026, the average yearly pay for data engineer entry level 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 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.

Can I get a data engineer entry level job with no experience?

Entry-level data engineering positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data tools and platforms such as Hadoop or Spark. While prior work experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level role.

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 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 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 Hackensack, NJ? The most popular types of Data Engineer jobs in Hackensack, NJ are:
What job categories do people searching Data Engineer Entry Level jobs in Hackensack, NJ look for? The top searched job categories for Data Engineer Entry Level jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Data Engineer Entry Level jobs? Cities near Hackensack, NJ with the most Data Engineer Entry Level job openings:
Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Hackensack, NJ as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,475 per year, or $68 per hour.

Junior Data Analyst

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, Dental, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Entry-Level Software Developer (Data Engineering Focus)

Full-Time

Atlanta, GA (Relocation expenses will be covered by Tech-Consulting)


About the Role

We are seeking an Entry-Level Software Developer who is passionate about programming and interested in building a career in data engineering. In this role, you will contribute to the development of software solutions that support data processing, automation, and analytics while working closely with experienced engineers and cross-functional teams.

This position is ideal for candidates with a solid coding foundation who are eager to learn modern data technologies and grow into a data-focused engineering role.


Responsibilities

  • Design, develop, test, and maintain software applications and backend components.
  • Build and enhance data processing workflows and automation scripts.
  • Develop integrations between applications and data sources.
  • Write clean, efficient, and maintainable code following best practices.
  • Troubleshoot software issues and optimize application performance.
  • Collaborate with engineers, analysts, and stakeholders to deliver technical solutions.
  • Participate in code reviews, testing, and documentation.
  • Continuously learn new technologies and contribute to process improvements.


Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
  • Experience with one or more programming languages such as Python, Java, C#, JavaScript, or similar.
  • Understanding of software development fundamentals, including object-oriented programming and data structures.
  • Familiarity with SQL and relational databases.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
  • Interest in learning data engineering concepts and modern data platforms.


Preferred Skills

  • Experience with Git or other version control systems.
  • Exposure to APIs, backend development, or scripting.
  • Basic knowledge of cloud platforms (AWS, Azure, or Google Cloud) is a plus.
  • Familiarity with ETL concepts, data pipelines, or big data technologies is beneficial but not required.
  • Experience with Linux or command-line environments is an advantage.


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