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Data Engineer Jobs in Rutherford, NJ (NOW HIRING)

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type: Contract Note: Interview mode: (Final round will be in person Interview at client location) Note:

Aita Consulting Services, Inc

Data Engineer

Totowa, NJ · On-site

$116K - $139K/yr

Identifies opportunities to automate data engineering processes and executes with direction of peers and management. * Maintains and improves the quality of data for all systems. * Ensures data ...

BDG

Data Engineer

New York, NY · On-site

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

Together For Talent

Data Engineer

Manhattan, NY · Hybrid

$150K - $300K/yr

Data Engineer | Early Hire Location: New York, NY (Hybrid) Salary: $150-300k Headquartered in New York, we are a booming healthtech software start-up building an AInative physical care platform ...

BDG

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

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 data engineering programming languages (preferably Python, alternatively Scala or Java) * 2. ...

Rivago infotech inc

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

JD : * Results-driven Data Engineer with a decade of expertise in Data engineering across cloud platforms with a total of 12 years in IT. * Extensive experience utilizing Google Cloud Platform ...

New

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 New Jersey :- Required Skills: * Proficiency in data engineering programming languages (preferably ...

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Job Requirements Required Skills: • 10+ years of data engineering experience • 5+ years of experience in building data and analytics platform focused on Azure data and analytics solutions • 5+ ...

New York Mets Organization

Data Engineer

Corona, NY

$120K - $144K/yr

The New York Mets are seeking a Data Engineerfor itsData Engineering Technology team. Thisrole is a unique opportunity to work with data and systems insupport of operations inboth baseball and the ...

MDT Technical

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Primary Location : New York City, New York V-Soft Consulting is currently hiring for a Data Engineer for our premier client in New York City, New York. Education and Experience » B.S ...

Quanta Search

Data Engineer

Manhattan, NY

$126K - $151K/yr

Data Engineers are responsible for the data infrastructure. The build systems designed for reliable data delivery and ingestion. Data Engineers develop and maintain internal and external facing APIs.

Arlo

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

Michael Kors

Data Engineer

East Rutherford, NJ

$116K - $140K/yr

The Data Engineer is a key member of the Global Data Platforms Team reporting to the Director of IT Data Operations. The Data Engineer will be responsible for building data delivery services that ...

Wynd Labs

Data Engineer

New York, NY

$125K - $150K/yr

Data Engineer $100k - $140k Who We Are. Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass. Grass is a network sharing ...

Quanta Search

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineers are responsible for the data infrastructure. The build systems designed for reliable data delivery and ingestion. Data Engineers develop and maintain internal and external facing APIs.

Arlo

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

Michael Kors

Data Engineer

East Rutherford, NJ · On-site

$116K - $140K/yr

The Data Engineer is a key member of the Global Data Platforms Team reporting to the Director of IT Data Operations. The Data Engineer will be responsible for building data delivery services that ...

Candid Health

Data Engineer

New York, NY · On-site

$165K - $205K/yr

As an early Data Engineer, you'll play a key role in designing, building, and supporting the next generation of our data infrastructure. This is an opportunity to get in at the ground floor of ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Rutherford, NJ

Data Engineer information

See Rutherford, NJ salary details

$45.4K

$132.2K

$180.9K

How much do data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data engineer in Rutherford, NJ is $132,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 per year, depending on experience, location, and employer.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Rutherford, NJ? The most popular types of Data Engineer jobs in Rutherford, NJ are:
What are popular job titles related to Data Engineer jobs in Rutherford, NJ? For Data Engineer jobs in Rutherford, NJ, the most frequently searched job titles are:
What cities near Rutherford, NJ are hiring for Data Engineer jobs? Cities near Rutherford, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rutherford, NJ as of June 2026, with employment types broken down into 2% As Needed, 91% Full Time, 3% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,237 per year, or $63.6 per hour.

Data Engineer

Tror AI for everyone

New York, NY • On-site

$125K - $150K/yr

Contractor

Posted 4 days ago

Job description

Job Role: Data Engineer

Job Location: New York (100% onsite) (need local to NY or near by locations)

Job Type: Contract

Note: Interview mode: (Final round will be in person Interview at client location)

 

Note: Candidate need to have colab set up ready with Gmail account so they can code on the L1 interview

 

 

Must have skills:

Languages & Scripting: Spark, Python, Java, Scala, Hive, Kafka, SQL

Cloud Platforms: AWS

Data Warehousing & Analytics: Redshift or Snowflake or Big Query

Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks

CI/CD: AWS Code Pipeline, Jenkins, CloudFormation, Docker, Kubernetes

 

Job Description:

  • Results-driven Data Engineer with a decade of expertise in Data engineering across cloud platforms with a total of 12 years in IT.
  • Extensive experience utilizing Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Dataprep, and Pub/Sub, for data engineering solutions.
  • Proficient in building and managing GCP data pipelines with tools like Cloud Composer and Cloud Dataflow.
  • Proven ability in developing and deploying applications on Google Kubernetes Engine (GKE).
  • Strong background in implementing security and compliance on GCP, ensuring data privacy and regulatory adherence.
  • Track record of optimizing cost and resource usage within GCP environments.
  • Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing.
  • Expertise in architecting scalable, cost-effective solutions on AWS, with proficiency in configuring AWS Lambda for serverless computing.
  • Adept at setting up AWS Kinesis streams to process real-time data, enhancing system responsiveness and data-driven decision-making.
  • Proficient in leveraging AWS DynamoDB to create scalable, low-latency NoSQL databases for dynamic applications.
  • Deep expertise in optimizing and managing Amazon Redshift data warehouses to deliver high-performance analytics and business insights.
  • Experienced in integrating AWS services into CI/CD pipelines, streamlining automation for continuous integration, delivery, and deployment.
  • Skilled in setting up and securing AWS Virtual Private Cloud (VPC) environments.
  • Proficient in managing Azure virtual machines (VMs) for cloud infrastructure operations.
  • Extensive experience managing on-premises data infrastructure, including data warehouses and databases.
  • Familiar with AWS DevOps practices for continuous integration and deployment.
  • Expertise in using Git for version control in DBT projects, ensuring proper tracking and documentation of data model changes.
  • Skilled in performance optimization and tuning of on-premises data systems.
  • Proficient in data migration strategies between on-premises and cloud environments.
  • Strong troubleshooting skills in resolving issues within on-premises data systems.
  • Proven ability to maintain high availability and disaster recovery solutions in on-premises environments.
  • Experienced in implementing CI/CD pipelines using tools like Jenkins and GitLab CI/CD.
  • Adept in automated testing processes, including unit, integration, and regression testing.
  • Skilled in gathering and analyzing project requirements to ensure alignment with business goals.
  • Experienced in Agile project management, contributing to successful outcomes through data-driven analytics and collaborative teamwork.