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Remote Data Engineering Jobs in Princeton Junction, NJ

My Remote Jobz

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 ...

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

In this role, you will work at the intersection of data engineering, data science, and advanced ... Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ...

My Remote Jobz

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 ...

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

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 ...

The Cypress Group

Lead Data Engineer

New York, NY · Remote

$200K - $250K/yr

Tech Lead - Data Platform | Remote A fast-growing financial technology company is seeking a Tech ... Drive engineering best practices related to testing, deployment, monitoring, and software quality.

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 ...

Soda Data

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

... Data Officers * Feed product and engineering the signal from the field - what's winning, what ... Location: Remote (US-based) * Benefits: Unlimited PTO, 401k, medical insurance Hiring process

1 point system

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

Lead technical decision-making, establish engineering best practices, and ensure data quality, performance, and reliability across the platform. * Mentor and support junior and mid-level data ...

Meta

Data Engineer, Product Analytics

New York, NY

$147K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$177K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

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 ...

Alpaca

Lead, Data Governance

New York, NY · Remote

The team is fully remote. This is an individual contributor role with no direct reports. You'll report to our Chief Information & Security Officer (CISO) and work closely with Data Engineering and ...

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... Serious prompt engineering: multi-step LLM pipelines with structured outputs and evals, not ...

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Showing results 21-40

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Princeton Junction, NJ

Remote Data Engineering information

See Princeton Junction, NJ salary details

$46.8K

$136.6K

$186.9K

How much do remote data engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data engineering in Princeton Junction, NJ is $136,555.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $144,700.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

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

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

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

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Princeton Junction, NJ as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $136,555 per year, or $65.7 per hour.

Data Engineer (Python / Power BI / Cloud)

TSG Risk Management

New York, NY • On-site, Remote

$80K - $100K/yr

Contractor

Re-posted yesterday

Job description

Location Requirement
This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.
Position Overview
We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.
The ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.
Key Responsibilities
  • Design, develop, and maintain secure and scalable data pipelines and ETL processes
  • Build and optimize data models to support analytics and reporting use cases
  • Develop Power BI dashboards and reports to deliver actionable insights
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
  • Participate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
  • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
  • Develop and maintain Python scripts for data extraction, transformation, and automation
  • Support metric development and reporting automation initiatives
  • Contribute to infrastructure-related activities, including deployments and environment support
  • Create and maintain technical documentation (e.g., Confluence)
  • Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
  • 4-6+ years of experience in data engineering or related field
  • Strong experience with Python and SQL
  • Hands-on experience building and maintaining ETL/data pipelines
  • Experience with data modeling and working with structured datasets
  • Experience with Power BI (dashboard development and reporting)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience working in Agile environments with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
  • Experience with data automation and metric standardization
  • Exposure to infrastructure deployments or DevOps practices
  • Experience with Confluence or similar documentation tools
  • Prior experience supporting enterprise reporting or analytics initiatives

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