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Data Engineer Jobs in Princeton, NJ (NOW HIRING)

PUIG

Data Engineer

North Brunswick, NJ · On-site

$120K - $145K/yr

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis on BigQuery, data quality, data governance, observability, performance and security by design. As ...

New

The Cypress Group

Data Engineer

New York, NY · 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 ...

Beghou Consulting

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next ...

Qode

Data Engineer

NJ · On-site

$116K - $140K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Qode

Data Engineer

Jackson, NJ · On-site

$116K - $140K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

SciTec

Data Engineer

Princeton, NJ · On-site

$121K - $145K/yr

They are seeking a Data Engineer to design, build, and maintain scalable infrastructure for resource and project management, collaborating with stakeholders to support analytics use cases.

Beghou Consulting

Data Engineer

Princeton, NJ

$120K - $144K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next ...

Dlapiper

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 ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Engineer Location: Princeton, NJ, USA Mandatory Skills: Key Skills & Technologies * Programming Languages: Python (primary), SQL * Cloud Platforms: AWS (S3, Glue, Lambda, Redshift, EC2, EMR)

SciTec

Data Engineer

Princeton, NJ · On-site +1

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and maintain a scalable infrastructure for company wide resource and project management. The ideal ...

GEI Consultants

Data Engineer

New York, NY · 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 ...

The Cypress Group

Data Engineer

New York, NY · Hybrid

$200K - $230K/yr

The Data Engineer needs 3-5+ years of experience working as a Data Engineer building pipelines and ingestion/analytics engines w/ Python, SQL, ETL, DBT, AWS tooling, PostgreSQL, etc. ~70% pure Data ...

SciTec

Data Engineer

Princeton, NJ · On-site

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and maintain a scalable infrastructure for company wide resource and project management. The ideal ...

Courier Health

Data Engineer

New York, NY · On-site

$120K - $150K/yr

About the Team You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and ...

SciTec

Data Engineer

Princeton, NJ · On-site

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and maintain a scalable infrastructure for company wide resource and project management. The ideal ...

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:

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 ...

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 ...

BDG

Data Engineer

New York, NY · On-site +1

$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 ...

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. ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Princeton, NJ

Data Engineer information

See Princeton, NJ salary details

$47.1K

$137.2K

$187.7K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Princeton, NJ is $137,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Princeton, NJ? The most popular types of Data Engineer jobs in Princeton, NJ are:
What are popular job titles related to Data Engineer jobs in Princeton, NJ? For Data Engineer jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Princeton, NJ look for? The top searched job categories for Data Engineer jobs in Princeton, NJ are:
What cities near Princeton, NJ are hiring for Data Engineer jobs? Cities near Princeton, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,169 per year, or $65.9 per hour.

Data Engineer

PUIG

North Brunswick, NJ • On-site

$120K - $145K/yr

Full-time

Posted 2 days ago

New

Job description

The Opportunity

Design, build and operate enterprise-grade data infrastructure, reusable data pipelines and governed data assets that enable analytics, AI and business decision-making across the organization.

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis on BigQuery, data quality, data governance, observability, performance and security by design.

As part of Technology Architecture, the Data Engineer contributes to shared data capabilities that support Data & AI Tech Factory delivery, business data domains, AI engineering and analytics teams across the enterprise.

What you'll get to do
Strategy & Roadmap
  • Contribute to the evolution of the enterprise data platform and data engineering standards.
  • Help define reusable patterns for ingestion, transformation, orchestration, monitoring and data productization.
  • Support the modernization of analytics and AI data foundations on Google Cloud Platform.
  • Promote cloud-first, governed and AI-ready approaches to enterprise data engineering.
  • Identify opportunities to reduce duplication and increase reuse across data pipelines, datasets and platform components.
Delivery & Execution
  • Design, build and maintain scalable data pipelines and data processing workflows using Google Cloud Platform services.
  • Develop BigQuery data models, curated datasets and reusable data layers optimized for analytics and AI consumption.
  • Create automated ETL/ELT processes to ingest, clean, enrich and transform data from multiple enterprise and third-party sources.
  • Implement batch, near-real-time and event-driven data flows where appropriate, ensuring performance, reliability and operational resilience.
  • Support integrations between cloud systems, on-premise systems and third-party applications where data movement or data availability is required.
  • Build and optimize data workflows using services such as BigQuery, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Run, Dataflow, Dataproc and Cloud Composer.
  • Collaborate with AI Engineering teams to create AI-ready datasets, feature-ready structures and reliable data foundations for ML and GenAI use cases.
  • Maintain documentation of data workflows, architectures, data models, dependencies and operational procedures.
Governance & Compliance
  • Apply data governance standards for data quality, lineage, metadata, cataloging, documentation and traceability.
  • Implement security and privacy controls, including access management, encryption, role-based access and secure data sharing practices.
  • Ensure pipelines and datasets comply with internal governance, GDPR and relevant data protection expectations.
  • Contribute to observability, monitoring and alerting practices around data pipelines and data platform components.
  • Support responsible AI by ensuring that AI-consuming teams rely on trusted, documented, governed and high-quality datasets.
Stakeholder Management
  • Collaborate with Miquel Orengo and Technology Architecture stakeholders to align delivery with technical standards and platform priorities.
  • Work with Data & AI Tech Factory squads to provide reusable data foundations for domain delivery.
  • Partner with Business Data, Consumer Data, Digital Analytics and other data-consuming teams to understand requirements and translate them into scalable technical solutions.
  • Coordinate with Integration Engineering when data flows require cross-system connectivity or API-enabled movement.
  • Communicate technical constraints and data engineering decisions clearly to both technical and non-technical stakeholders.
Team Leadership
  • Act as a strong individual contributor within the Data Engineering capability.
  • Share engineering standards, patterns and good practices with peers and delivery squads.
  • Support code reviews, design reviews and quality gates where requested by the Data & AI Engineering Manager.
  • Mentor junior contributors or external partners when appropriate, without formal people-management responsibility.

Contribute to continuous improvement of development standards, release practices and data engineering maturity.

We'd love to meet you if you have
  • 3-6 years of experience in data engineering, analytics engineering, cloud data engineering or enterprise data platform roles.
  • Proven hands-on experience building scalable data solutions on Google Cloud Platform, especially with BigQuery.
  • Experience designing and operating ETL/ELT pipelines, data models, data warehouses or lakehouse-style architectures.
  • Experience with data governance, data quality, metadata, lineage or secure data access practices.
  • Experience supporting analytics and AI use cases through trusted datasets and production-grade data flows.
  • Experience integrating cloud systems with on-premise or third-party data sources is valuable.

We welcome Creators Of All Kinds. If you are unsure of meeting all the requirements but trust you have the transferable skills to excel in this role, complete the application and our teams will get in touch if you are selected for an interview. 

A few things you'll love about us
  • An entrepreneurial, creative and welcoming work culture
  • A range of learning and development opportunities
  • An international company with plenty of opportunities to grow
  • A competitive compensation & benefits package

Apply