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

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Big Data Engineer

New York, NY · Remote

$57 - $75.50/hr

Does NOT want a machine learning engineer, wants a big data engineer Required Skills: * 5-10 years of experience * Python, Airflow, PySpark, Spark SQL, Spark Streaming, Scala, Relational/No SQL ...

Data Engineer II

New York, NY · Remote

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineering Team is responsible for building the data infrastructure that underpins our data analytics and data products that are used cross-functionally inside the company (finance, sales ...

New

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Senior Data Engineer

New York, NY · Remote

$150K - $200K/yr

  • Medical

  • Retirement

Senior Data Engineer We're hiring a Data Engineer to join our team and help build the foundation of Verse's data infrastructure. This is a high-impact, zero-to-one role where you'll help design and ...

Senior Data Engineer

New York, NY · Remote

$165K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone) * Design and implement efficient data handling system based of Java and Spark tech stack. * Perform and ...

What you will bring * 2+ years in data engineering or analytics engineering with proven ability to ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

Senior Staff Data Engineer

New York, NY · On-site +1

$270K - $338K/yr

  • Retirement

  • PTO

The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to ...

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process ...

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

Data Engineer (US Eastern Time Zone)

New York, NY · Remote

$117K - $140K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity. In this role, you will be ...

Showing results 41-60

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.

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:

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 Analyst - Automotive

My Remote Jobz

New York, NY • Remote

$100K - $120K/yr

Full-time

Posted 13 days ago


Job description

Data Analyst - Automotive


Mission


Are you passionate about transforming complex data into meaningful insights? Do you enjoy building automated solutions, creating impactful dashboards, and solving real business challenges? If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer.


What You'll Do


In this role, you'll be at the heart of data-driven decision-making, working closely with engineering, management, and digital teams to unlock the value of operational data. You'll identify opportunities for improvement, automate data processes, and develop innovative solutions that help teams perform at their best.


Key Responsibilities


Design and develop engaging Tableau dashboards that turn data into actionable insights.

Extract, clean, transform, and model data from multiple sources.

Automate data extraction and transformation processes to improve efficiency.

Build and maintain Power Apps and Power Automate solutions to close business process gaps.

Collaborate with stakeholders across Manufacturing Engineering and Digital teams to understand business needs and deliver impactful solutions.

Drive continuous improvement through data-led decision making.

Profile


Strong experience creating dashboards and reporting solutions using Tableau.


Experience with Google Cloud Platform (GCP).


SQL expertise with proven data extraction and transformation experience.


Knowledge of data modelling and relational databases.

Experience automating data processes and workflows.

Power Apps and Power Automate development experience.

Excellent communication, stakeholder management, and problem-solving skills.


Bonus Points For


Python development skills.

Relevant Data Engineering, Data Analytics, or STEM qualifications.

Why Join Us?


This is an opportunity to make a visible impact in a business that values innovation, collaboration, and continuous improvement. You'll work with cutting-edge technologies, influence key business decisions, and help shape the future of data-driven manufacturing.