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Data Engineer Jobs in Raritan, NJ (NOW HIRING)

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

Theradex Oncology

Data Engineer

Princeton, NJ · On-site

$130 - $160/hr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

Baseten

Data Engineer

New York, NY · On-site

$180K - $250K/yr

THE ROLE We're hiring a Data Engineer to build and scale Baseten's internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw ...

Forhyre

Data Engineer

New York, NY

$125K - $150K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Theradex Oncology

Data Engineer

Princeton, NJ · On-site

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

Theradex Oncology

Data Engineer

Princeton, NJ · On-site

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

Carlyle

Data Engineer

New York, NY

$150K - $200K/yr

Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold ...

Kanak Elite Services Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby location) Mid-Level (5-12 years) Mandatory Skills: * - Data pipeline development * - SQL * - Python ...

Theradex Oncology

Data Engineer

Princeton, NJ · On-site

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

Ceritypartners

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and architecting the future--state of our data pipelines, analytics, and reporting. Data is what empowers ...

Overture Partners

DataBricks Data Engineer

New York, NY · On-site

$65 - $68/hr

This role is ideal for a hands-on engineer with deep expertise in Databricks, modern data engineering practices, and Sales Incentive Compensation (SIC) processes. Candidates with a proven track ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the ...

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Need Local as for onsite interview Senior Data Engineer Location: Hybrid 3 days a week onsite Duration: 6 month contract to hire We're looking for a Senior Data Engineer to lead the development of ...

Carlyle

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold ...

Cerity Partners

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and architecting the future--state of our data pipelines, analytics, and reporting. Data is what empowers ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Raritan, NJ

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 Sep 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.

What is a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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:

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For Data Engineer jobs in Raritan, NJ, the most frequently searched job titles are:

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Cities near Raritan, NJ with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Raritan, NJ as of August 2026, with employment types broken down into 81% Full Time, 10% Temporary, and 9% Contract. Highlights an 76% In-person, 7% Hybrid, and 17% Remote job distribution, with an average salary of $132,834 per year, or $63.9 per hour.

Data Engineer

5 Star Global Recruitment Partners

Princeton, NJ • On-site

$120K - $144K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

Princeton, New Jersey, United States

About the Job

Experience Required:

Data Engineering

Experience in implementing Microsoft BI/Azure BI solutions like Azure Data Factory, Azure Databricks, Azure Analysis Services, SQL Server Integration Services, SQL Server Reporting Services. Strong understanding in Azure Big data technologies like Azure Data Lake Analytics, Azure Data Lake Store, Azure Data Factory and in moving the data from flat files and SQL Server using U-SQL jobs.

  • Expert in data warehouse development starting from inception to implementation and ongoing support, strong understanding of BI application design and development principles using Normalization and De-Normalization techniques. Experience in developing staging zone, bronze, silver and gold layers of data
  • Good knowledge in implementing various business rules for Data Extraction, Transforming and Loading (ETL) between Homogenous and Heterogeneous Systems using Azure Data Factory (ADF).
  • Developed notebooks for moving data from raw to stage and then to curated zones using Databricks.
  • Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
  • Extensive experience in developing tabular and multidimensional SSAS Cubes, Aggregation, KPIs, Measures, Partitioning Cube, Data Mining Models, deploying and Processing SSAS objects.

Domain Knowledge (Preferred)

Experience with actuarial tools or insurance is preferred. The intent is familiarity with the data terminologies and the hierarchy of data in the Insurance domain, specifically in the below areas

  • Familiarity with reinsurance broking data, including placements, treaty structures, client hierarchies, and renewal workflows.
  • Understanding of actuarial rating inputs and outputs, including exposure and experience data, layers, tags, and program structures.
  • Experience building data pipelines that support actuarial analytics, pricing tools, and downstream reporting for brokers and clients.

Team Skills

  • Team builder with strong, analytical & interpersonal skills with good knowledge in Software Development Life Cycle (SDLC) and proficient in technical writing.
  • Experience in Agile software development and SCRUM methodology.
  • Ability to work independently and as part of a team to accomplish critical business objectives as well as good decision-making skills under high pressure complex scenarios

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