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Junior Data Engineer Jobs in Edison, NJ (NOW HIRING)

Mentor junior data engineers. 40 hours / week, 8:00am-5:00pm, Salary Range: $170,000/year to $230,000/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on ...

Experience with programming languages such as Python, R Studio, SQL * Familiarity in working with structured and unstructured data sources * Excellent verbal and written communications; ability to ...

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

Strategy development as well as mentorship of junior team members Team Size & Breakdown: * 9 data engineers that are currently on the team * One more open position that is FTE High-Level Individual ...

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP ... Experience mentoring junior team members

Principal Data Engineer

New York, NY · On-site

$170K - $200K/yr

You will lead, support, and mentor a team of junior data engineers within an agile framework. * You set medium term strategy for the technical delivery of delivery projects, seeking to anticipate ...

Senior Data Engineer

New York, NY · On-site

$160K - $200K/yr

Mentor Data Engineers ... Coach junior and mid-level engineers through hands-on pairing, code review, and direct feedback ...

Partnering with client teams and data engineers to ensure models are production-ready, scalable ... Mentoring junior data scientists and analysts, actively investing in the team's technical depth and ...

Partnering with client teams and data engineers to ensure models are production-ready, scalable ... Mentoring junior data scientists and analysts, actively investing in the team's technical depth and ...

Sr Data Engineer

New York, NY · Hybrid

$125K - $150K/yr

Mentor junior engineers and participate in technical design and architecture reviews. * Detect, investigate, and resolve data anomalies to maintain pipeline reliability and data trustworthiness.

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Junior Data Engineer information

See Edison, NJ salary details

$34K

$72.8K

$111K

How much do junior data engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for junior data engineer in Edison, NJ is $72,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $81,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of project success.

What is a Junior Data Engineer job?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What do junior data engineers do?

Junior data engineers assist in designing, building, and maintaining data pipelines and databases to ensure data is accessible and reliable for analysis. They often work with tools like SQL, Python, and cloud platforms, and may support data cleaning, integration, and troubleshooting under the supervision of senior engineers.

Will AI replace Data Engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. While AI tools can automate certain tasks like data cleaning and analysis, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

Can I make 200K as a Data Engineer?

Senior Data Engineers with extensive experience, advanced skills in tools like Spark and cloud platforms, and certifications can reach or exceed a 200K salary in many regions. Entry-level or junior Data Engineers typically earn lower salaries, with compensation increasing with expertise, location, and industry demand.

What are the key skills and qualifications needed to thrive in the Junior Data Engineer position, and why are they important?

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

What are the most commonly searched types of Data Engineer jobs in Edison, NJ? The most popular types of Data Engineer jobs in Edison, NJ are:
What are popular job titles related to Junior Data Engineer jobs in Edison, NJ? For Junior Data Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineer jobs in Edison, NJ look for? The top searched job categories for Junior Data Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Junior Data Engineer jobs? Cities near Edison, NJ with the most Junior Data Engineer job openings:
Infographic showing various Junior Data Engineer job openings in Edison, NJ as of July 2026, with employment types broken down into 77% Full Time, 2% Temporary, and 21% Contract. Highlights an 81% In-person, 2% Hybrid, and 17% Remote job distribution, with an average salary of $72,814 per year, or $35 per hour.

Other

Posted 17 days ago


Job description

Position Overview:
We are currently seeking a highly motivated Junior Data Engineer to join a new, strategic data initiative. This role is specifically tailored for entry level candidates who possess foundational to intermediate experience in data engineering, with a strong emphasis on Snowflake. The successful candidate will work onsite in Secaucus, New Jersey, contributing to the development, optimization, and visualization of robust enterprise data solutions.

Key Responsibilities:
Design, develop, and maintain scalable data pipelines and data models utilizing Snowflake.
Write, optimize, and manage complex SQL queries for Extract, Transform, and Load (ETL) processes.
Collaborate with cross-functional teams and stakeholders to translate business requirements into technical data solutions.
Develop, configure, and maintain interactive dashboards and comprehensive data visualizations using Tableau and Power BI.
Monitor data quality, troubleshoot pipeline issues, and ensure the integrity, accuracy, and security of the data warehouse.
Participate in agile ceremonies, code reviews, and continuous improvement initiatives.

Required Qualifications:
Recent university graduate (Class of 2023, 2024, or 2025) with a degree in Computer Science, Information Technology, Data Science, or a closely related field.
6 months to 1 year of hands-on professional or intensive academic experience in Data Engineering, specifically utilizing Snowflake.
Strong proficiency in SQL and modern relational database concepts.
Demonstrated experience or comprehensive academic training in data visualization and business intelligence tools, specifically Tableau and Power BI.
Excellent analytical, problem-solving, and communication skills.