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Remote Data Engineering Jobs in Princeton Junction, NJ

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 ... Serious prompt engineering: multi-step LLM pipelines with structured outputs and evals, not ...

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 ... Serious prompt engineering: multi-step LLM pipelines with structured outputs and evals, not ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area ... Partner with Data Engineering to modernize our data infrastructure * Own the data platform ...

Texture

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

At least 6 years of relevant experience in data engineering * Proven track record of building and optimizing data pipelines and architectures * Demonstrable experience in big data technologies and ...

Elliptic

Senior Software Engineer - Data

New York, NY · Remote

$206K - $255K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a hands-on engineering role: as a senior member of the team, you will spend the majority of ... Remote Work Budget: $650 budget to set up your home office space. Learning & Development: * L&D ...

TechData Service Company LLC

Be Seen First

Remote Digital Twin Engineer (Simio)

Raritan, NJ · Remote

$40 - $45/hr

  • Medical

  • Dental

  • Vision

Remote or Hybrid (Raritan, NJ) - Ideally, the manager would like someone who can work HYBRID, but ... Qualifications Bachelor's or Master's degree in Engineering, Operations Research, Data Science ...

Arizent

Data & AI Engineer

New York, NY · Remote

$100K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Headquartered in the heart of New York City, we also welcome remote employees across the United ... Skills and Qualifications Required * 1+ years of experience in a data engineering, analytics ...

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 ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

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 ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

Mark43

Data Migration Engineer

New York, NY · Remote

$80K - $110K/yr

Worked alongside Mark43 deployment, engineering, and product teams to iterate on and improve our ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

UnitedHealth Group

Data Analyst - Remote

New York, NY · On-site +1

  • Retirement

Collaborate with data engineering or IT teams to enhance data quality, accessibility, and reporting capabilities * Monitor performance of affordability initiatives and track savings against targets

Carlyle

Data & AI Engineer

New York, NY · On-site +1

$125K - $150K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This is a senior individual-contributor engineering role that executes against architectural standards, contributes to their evolution through hands-on learning, and partners closely with data ...

Carlyle

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization ... At least 6 years of experience in data engineering or a related discipline, with a proven track ...

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Showing results 41-60

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 Platform Engineering Manager

Octagon Talent

New York, NY • Remote

Full-time

Re-posted 5 days ago

Job description

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last.


Job Overview:


One of our explosively growing clients is building the future of identity verification and fraud detection, powering real-time decisions for many of the largest financial institutions in the U.S. Octagon Talent Solutions is in search of a Data Platform Engineering Manager to lead a team responsible for the data infrastructure that underpins their products and decisioning systems, spanning ingestion, transformation, storage, and low-latency serving. This is a fully remote (US-based) role with high ownership, meaningful technical depth, and a direct impact on how we detect and prevent identity fraud at scale.


RESPONSIBILITIES:


  • Lead, mentor, and grow a high-performing Data Platform team (currently ~7 engineers, expanding).
  • Set technical direction and drive architecture for real-time and batch data systems—ingestion, processing, storage, and serving.
  • Partner closely with Data Science, Product, and Engineering to ensure data is reliable, accessible, and actionable across the business.
  • Establish and reinforce best practices for data quality, observability, governance, and schema management.
  • Improve platform performance, scalability, and cost efficiency in collaboration with Infrastructure/Platform teams.
  • Build an execution culture of ownership and accountability (monitoring, alerting, incident response, and continuous improvement).
  • Contribute hands-on when needed through design reviews, technical deep-dives, and problem-solving in complex systems.
  • Maintain a high hiring bar and help scale the team with thoughtful recruiting and onboarding.


REQUIREMENTS:


  • 2–5+ years of engineering management experience leading data/platform/backend teams (with strong people leadership).
  • Prior experience as a senior/staff-level data engineer or backend engineer with a strong data focus; still able to go deep “in the weeds” when required.
  • Proven track record building real-time, low-latency production systems where data is accurate, controllable, and served quickly to downstream systems.
  • Strong fundamentals in system design, distributed systems, and operational reliability.
  • Experience with modern cloud data platforms and architectures (AWS preferred).
  • Proficiency in Python, Golang, or similar languages; comfortable reviewing and guiding production-quality code.
  • Strong SQL and data modeling knowledge; experience with relational databases and warehouses.
  • Startup or growth-stage experience; comfortable operating in a fast-paced, high-ownership environment.


Nice to have: Spark/EMR, Kafka/Flink, Redshift, OpenSearch, Docker/containerized deployments, and experience supporting ML or fraud/risk systems.