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Data Engineer Jobs in Raritan, NJ (NOW HIRING)

Hebbia

Data Engineer

New York, NY · On-site

$190K - $250K/yr

The Role We are seeking our first Data Engineer, someone who can refine our data infrastructure, drive best practices for building data pipelines, and collaborate closely with both engineering and ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions * Ingest and transform data from diverse sources (S3, RDS, DynamoDB ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ

$76K - $121K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$76K - $107K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$76K - $121K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Edgestream

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

About the Job Edgestream is seeking a Data Engineer to build, scale and support our core data infrastructure used in both live trading and research. This role is ideal for an early to mid-career ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$76K - $107K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

NJ CURE

Data Engineer

Princeton, NJ · On-site

$100K - $120K/yr

Data Engineer CURE Auto Insurance is a leading direct writer of auto insurance in New Jersey, Pennsylvania, and Michigan. CURE offers a great working environment, competitive salary, and ...

Lightning AI

Data Engineer

New York, NY · On-site

$188K - $275K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role reporting to our VP of Product. You'll own data reliability across the company: clean tables, documented ...

New

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 ...

eTeam

Data Engineer

Titusville, NJ · On-site

$113K - $136K/yr

Job Summary : eTeam is seeking a highly skilled Data Engineer with over 10 years of experience to lead the design, architecture, and implementation of scalable data platforms. The role focuses on ...

Cape

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineer at Cape, your mission is to build the analytics and reporting infrastructure that lets us understand our product and business without compromising the privacy guarantees we make to ...

Bedrock Robotics

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We need a Senior Data Engineer who can work across the stack: tighten up our ingestion pipelines, write new ETL pipelines wherever needed, build out monitoring and alerting where we have blind spots ...

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 ...

eTeam

Data Engineer

Titusville, NJ · On-site

$113K - $136K/yr

Job Summary : eTeam is seeking a highly skilled Data Engineer to lead the design, architecture, and implementation of scalable data platforms. The role involves building a robust data ecosystem to ...

Legend Biotech US

Lead Data Engineer

Bridgewater, NJ · Hybrid

$117K - $140K/yr

Legend Biotech is seeking a Lead Data Engineer as part of the Information Technology team based in Bridgewater, NJ . Role Overview We are seeking a Lead Data Engineer to build and operate enterprise ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 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.
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:
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:
Data Engineer jobs near you
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

Data Engineer

Hebbia

New York, NY • On-site

$190K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 hours ago

Job description

About Hebbia
The AI platform for investors and bankers that generates alpha and drives upside.
Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world's largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.
We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.
Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.
The Role
We are seeking our first Data Engineer, someone who can refine our data infrastructure, drive best practices for building data pipelines, and collaborate closely with both engineering and business teams to ensure every data need is met. If you are a self-starter with a proven track record of architecting end-to-end data solutions, we'd love to hear from you.
Responsibilities
  • Architect, build, and maintain ETL pipelines and workflows that ensure high data quality and reliability
  • Design and manage a central data lake to consolidate data from various sources, enabling advanced analytics and reporting
  • Collaborate with cross-functional stakeholders (product, engineering, and business) to identify data gaps and develop effective solutions
  • Implement best practices in data security and governance to ensure compliance and trustworthiness
  • Evaluate and integrate new technologies, tools, and approaches to optimize data processes and architectures
  • Continuously monitor, troubleshoot, and improve data pipelines and infrastructure for performance, scalability, and cost-efficiency

Who You Are
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
  • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on data engineering
  • Significant hands-on experience in data engineering (ETL development, data warehousing, data lake management, etc.)
  • Adept at identifying and owning data projects end to end, with the ability to work independently and exercise sound judgment
  • Proficient in Python and SQL; comfortable working with cloud-based data stack tools
  • Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration technologies (e.g., Airflow, DBT, or similar)
  • Experience implementing data governance, security, and compliance measures
  • Strong collaboration and communication skills, with the ability to translate business requirements into technical solutions
  • Prior experience in a high-growth or startup environment is a plus
  • You are comfortable working in-person 5 days a week

Compensation
The salary range for this position is set between $190,000 and $250,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.
Life @ Hebbia
PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K + Wellness Benefits
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential
#LI-Onsite

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