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Data Engineer Jobs in Raritan, NJ (NOW HIRING)

Data Engineer

Millburn, NJ ยท 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 ...

Data Engineer

Lawrence Township, NJ ยท On-site

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and supporting enterprisescale data pipelines that power analytics, reporting, marketing insights, and ...

Data Engineer

Lawrence Township, NJ ยท On-site

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and supporting enterprise-scale data pipelines that power analytics, reporting, marketing insights, and ...

Data Engineer

Lawrence Township, NJ ยท On-site

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and supporting enterprisescale data pipelines that power analytics, reporting, marketing insights, and ...

Data Engineer

Lawrence, NJ ยท On-site

$122K - $146K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and supporting enterprise-scale data pipelines that power analytics, reporting, marketing insights, and ...

Data Engineer

Florham Park, NJ ยท On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Data Engineer

Newark, NJ ยท On-site

$119K - $143K/yr

Position: Data Engineer Location: Hybrid 3 days/week in Newark, NJ Duration: 6-month contract to hire Overview: We are seeking experienced Data Engineers to join a leading financial services ...

Data Engineer

Florham Park, NJ ยท On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Data Engineer

New York, NY ยท Hybrid

$150K - $183K/yr

They are currently expanding their Data Engineering team based in New York City, NY. This role is hybrid on-site in the NYC Headquarters. Qualified candidates will have 3+ years of professional hands ...

Data Engineer

Florham Park, NJ ยท On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Data Engineer

Florham Park, NJ ยท On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Apply Early

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling ...

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling ...

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

We are looking for a skilled Senior Data Engineer with a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps and cloud-based large scale data applications ...

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

We are looking for a skilled Senior Data Engineer with a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps and cloud-based large scale data applications ...

Data Engineer

Short Hills, NJ

$124K - $149K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Wharton, NJ ยท On-site

$77K - $176K/yr

Job Number: R0241249 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data ...

Data Engineer

New York, NY

$125K - $150K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Wharton, NJ ยท On-site

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

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Showing results 1-20

Data Engineer information

See Raritan, NJ salary details

$45.6K

$132.8K

$181.8K

How much do data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data engineer in Raritan, NJ is $132,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,300.00 and $140,800.00 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.
What are the most commonly searched types of Data Engineer jobs in Raritan, NJ? The most popular types of Data Engineer jobs in Raritan, NJ are:
What are popular job titles related to Data Engineer jobs in Raritan, NJ? For Data Engineer jobs in Raritan, NJ, the most frequently searched job titles are:
What cities near Raritan, NJ are hiring for Data Engineer jobs? Cities near Raritan, NJ with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Raritan, NJ as of June 2026, with employment types broken down into 2% As Needed, 89% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,834 per year, or $63.9 per hour.

Data Engineer

Tandym Tech

Millburn, NJ โ€ข On-site

$114K - $137K/yr

Other

Posted 3 days ago


Job description



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 Friday




  • Hours: Standard business




  • Setting: Hybrid (at least 2 days onsite per week)




Responsibilities:




  • Develop and support new and existing data applications.




  • Partner with business users and analysts to understand data needs and recommend effective long-term solutions.




  • Work with application and enterprise architects to review implementation designs and data flows.




  • Provide technical guidance for complex data solutions, including code reviews, testing, deployment, and documentation.




  • Support production issues, maintain integration documentation, and contribute to broader data engineering initiatives.




Qualifications:




  • 5-7 years of experience in Data Warehousing, Data Integration, or Data Engineering projects.




  • Strong data engineering fundamentals with ETL experience




  • Advanced data modeling experience with emphasis on dimensional modeling




  • Proficiency in SQL




  • Hands-on experience with Azure Databricks and the Azure ecosystem.




  • Experience using Python or Scala




  • Strong communication skills and the ability to work effectively across teams




  • Proven ability to own work independently




Desired Skills:




  • Experience with Power BI, Azure ML, or Synapse




  • Familiarity with Informatica PowerCenter, IICS, Cognos, or Netezza Performance Server




  • Experience with Azure DevOps or GitHub




  • Background in Property and Casualty Insurance




  • Bachelor's degree in computer science or a related engineering field




  • Experience leading workstreams or delivering end-to-end project implementations