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Remote Data Engineer Jobs in Princeton, NJ (NOW HIRING)

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Data Engineer We are seeking highly skilled Data Engineers Contractors for upcoming assignments. If ... Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ...

Soda Data

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team.

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Relevant certification &/or work experience in data engineering * BA/BS degree with 6+ years ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Contact Government Services, LLC

Sr. Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sr. Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While this is a remote-first opportunity, the candidate filling this role must be a resident of ... You will absorb data engineering work currently split between the Senior Machine Learning Engineer ...

1 point system

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Maintain a strong knowledge of medical claims, member data, and provider data. Agile Development ... Comfort working with remote team members located in the US, India, or other geographies.

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Gemini

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

  • Medical

  • Retirement

Senior Data Engineer The Data team is responsible for designing and operating the data ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

NinjaOne

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

Soda Data

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

NinjaOne

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

Gemini

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

  • Medical

  • Retirement

Senior Data Engineer The Data team is responsible for designing and operating the data ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Princeton, NJ

Remote Data Engineer information

See Princeton, NJ salary details

$47.1K

$137.2K

$187.7K

How much do remote data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote 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 a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote 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 Remote Data Engineer jobs in Princeton, NJ?

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

What job categories do people searching Remote Data Engineer jobs in Princeton, NJ look for?

The top searched job categories for Remote Data Engineer jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Remote Data Engineer jobs?

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Princeton, NJ as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $137,169 per year, or $65.9 per hour.

Data Engineer Contractor - Talent Reserve

KPMG LLP

New York, NY • On-site, Remote

$125K - $150K/yr

Contractor

Re-posted 12 days ago

Job description

Data Engineer
We are seeking highly skilled Data Engineers Contractors for upcoming assignments.
If selected, the role will involve building the next generation of scalable data pipelines and enterprise architectures. In this role, you will work at the intersection of data engineering, data science, and advanced analytics, utilizing modern cloud data platforms to drive business intelligence initiatives.
We are currently hiring for two distinct experience tracks: highly hands-on technical contributors (3-7 years of experience) and technical leads (8+ years of experience) who can guide offshore teams and serve as the primary technical face for client engagements.
Roles can vary by Hybrid, Remote, Onsite
Key Responsibilities:
  • Data Pipeline Architecture: Design, build, and maintain scalable, robust data pipelines and enterprise data architectures utilizing Databricks, Snowflake, and dbt.
  • Data Modeling & Transformation: Transform and model complex, large-scale datasets within Snowflake and Databricks using dbt to support advanced analytics and business intelligence initiatives.
  • Distributed Processing & Optimization: Leverage Databricks for large-scale, distributed data processing while ensuring data quality, reliability, and continuous performance optimization across cloud data platforms.
  • Cross-Functional Collaboration: Partner with data scientists, analysts, and software engineers to translate business requirements into efficient, end-to-end data engineering solutions.
  • Technical Leadership & Client Engagement (For 8+ Years Experience): Act as the primary technical point of contact for client engagements, driving technical strategy and leading offshore engineering resources to deliver high-quality solutions.
  • Act with integrity, professionalism, and personal responsibility to uphold the firm's respectful and courteous work environment.

Required Skills & Qualifications:
  • Experience Level: Minimum three years of recent experience for hands-on engineering roles, OR minimum eight years of recent experience for candidates stepping into technical leadership and client-facing capacities.
  • Core Programming: Advanced proficiency in Python and PySpark.
  • Modern Data Stack: Extensive hands-on experience with Databricks, Snowflake, and dbt (data build tool).
  • Data Integration: Experience orchestrating data workflows using Azure Data Factory (ADF).
  • Advanced Analytics: Familiarity with Generative AI concepts and Data Science workflows to effectively partner with cross-functional analytics teams.
  • Architecture: Strong foundational knowledge of general Data Engineering & Architecture best practices, data modeling, and distributed processing.

KPMG LLP ("KPMG") seeks a contractor in the United States to provide service to KPMG through one of our contracted employer/agency service providers. All applicants for any KPMG role are expected to act with integrity, professionalism, and personal responsibility to uphold the firm's respectful and courteous work environment. All applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
Nothing herein shall be deemed to create an employer-employee relationship between contractor and KPMG, nor shall contractor be considered a representative or agent of KPMG.
KPMG LLP and its subsidiaries comply with all local/state regulations in regard to displaying pay rate ranges. The pay rate range(s) displayed is/are specifically for those contracted who will perform work in or reside in the location(s) listed, if selected for the role. Pay is determined based on a variety of factors including market data, ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD, technology), and specific location, for example. Additionally, applicants may be required to apply and become employed by a service provider utilized by KPMG, and final pay rate(s) and/or eligibility for additional benefits may be determined by such provider.
KPMG LLP, its subsidiaries, and its agency service providers (including, but not limited to, MBO Partners Inc., Magnit LLC, and TalentBurst Inc.) are equal opportunity employers/contractors. All qualified applicants are considered without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, or other legally protected status.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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