ZipRecruiter

Log In

1

Data Engineer Jobs in Paramus, NJ (NOW HIRING)

campus4tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months Summary This role involves building and delivering advanced data science and AI/ML solutions in an ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data ...

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Role:-Data Engineer Position type: Contract to hire Duration: 12+ Months Location: Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data ...

AaraTechnologies Inc

DATA ENGINEER

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

City of New York

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

Tandym Tech

Data Engineer

Millburn, NJ · On-site

$114K - $137K/yr

A services organization in New Jersey is looking to fill an immediate need with the addition of a new Data Engineer to their team. About the Opportunity: * Shift: Day shift * Schedule: Monday to ...

City of New York

Data Engineer

Manhattan, NY · Hybrid

$125K - $150K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

City of New York

Data Engineer

Manhattan, NY · Hybrid

$125K - $150K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

City of New York

Data Engineer

Manhattan, NY · On-site

$100K - $125K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

Mindsprint Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Sr. Data Engineer - AWS Glue & Snowflake, Healthcare Payer Location - Midtown Manhattan, NYC- 4day Onsite Position Summary We are seeking a highly skilled Senior Data Engineer with deep expertise in ...

Lorven Technologies

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer Location: New York, NY * Bachelor's degree in Computer Science Data Engineering Statistics or a related field * 12-15 years of experience in data engineering and analytics roles

Mondo

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 (targeting end of summer) for this long-term contract-to-hire position. Job Title: Data Engineer (AVP ...

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Paramus, NJ

Data Engineer information

See Paramus, NJ salary details

$45K

$131.3K

$179.6K

How much do data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data engineer in Paramus, NJ is $131,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $139,100.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Paramus, NJ? The most popular types of Data Engineer jobs in Paramus, NJ are:
What cities near Paramus, NJ are hiring for Data Engineer jobs? Cities near Paramus, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Paramus, NJ as of June 2026, with employment types broken down into 2% As Needed, 89% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,263 per year, or $63.1 per hour.

Data Engineer

campus4tech

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Posted 10 days ago

Job description

Job Title- Data Engineer
Location- New York, NY 10112
Reporting Type- Onsite
Duration: 10 months
Summary
This role involves building and delivering advanced data science and AI/ML solutions in an agile environment, with a focus on rapid iteration and business impact. The Data Engineer will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting roles include Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data infrastructure. Experience in the HR domain is a plus.
Responsibilities
  • Lead end-to-end data science projects using agile and iterative approaches.
  • Develop and deploy AI/ML models, including propensity modeling.
  • Drive data engineering requirements to support model development and optimization.
  • Leverage GenAI/Data Assist tools to accelerate data science workflows.
  • Collaborate with stakeholders to align models with business outcomes.
  • Build and refine machine learning models under guidance.
  • Perform data analysis, feature engineering, and model validation.
  • Support deployment and testing of AI/ML solutions.

Requirements
Data engineer (C level) - should have experience building pipelines in AWS and cloud databases. Structured and unstructured data sets. Loading of data into S3 as well as tabular schemas. Databricks experience preferred.

Apply