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

SW5 Consulting

Senior Data Engineer

New York, NY · Remote

$150K - $230K/yr

Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to help reshape how brands communicate--by empowering them to market with precision, not excess. You'll ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

BBR Partners

Data Engineer

New York, NY · On-site +1

$110K - $125K/yr

POSITION OVERVIEW BBR Partners is seeking a Data Engineer to contribute to the build-out and ... Hybrid remote work environment, "Work from Anywhere" weeks, and casual dress. * New office space ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

IT Labs

Lead Data Engineer

New York, NY · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

LiteBridge

Data Engineer (Junior)

New York, NY · Remote

LiteBridge connects talented data engineers with global opportunities by training them in Palantir ... Flexible, remote work environment. * Placement with international clients upon certification.

BDG

Data Engineer

New York, NY · On-site +1

$125K - $150K/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 ...

Mercor

Data Engineer - AI Coding Expert

New York, NY · Remote

$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

New

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

Talkspace Corporate

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

Lakeview Loan Servicing

Lead Data Engineer

Manhattan, NY · Remote

$220K - $300K/yr

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... This is a fully remote position that offers a competitive salary range of $220,000 to $300,000 USD ...

Universal Music Group

Data Engineer Co-Op

New York, NY · On-site +1

$30 - $35/hr

We are offering US-Remote co-op positions in fall 2026 in the field of data engineering. How we LEAD: Data Engineering: As a member of the team, you'll handle evolving, scaling, and productionizing ...

Beam Impact

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development ... See a full list of perks at Location - Remote We are a remote-first company, so our team works from ...

Regard

Data Engineer

New York, NY · Remote

$140K - $175K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

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All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Warren, NJ

Remote Data Engineer information

See Warren, NJ salary details

$46.2K

$134.7K

$184.3K

How much do remote data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote data engineer in Warren, NJ is $134,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $142,800.00 per year, depending on experience, location, and employer.

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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
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What are popular job titles related to Remote Data Engineer jobs in Warren, NJ? For Remote Data Engineer jobs in Warren, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Warren, NJ look for? The top searched job categories for Remote Data Engineer jobs in Warren, NJ are:
What cities near Warren, NJ are hiring for Remote Data Engineer jobs? Cities near Warren, NJ with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Warren, NJ as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,710 per year, or $64.8 per hour.

Senior Data Engineer

SW5 Consulting

New York, NY • Remote

$150K - $230K/yr

Full-time

Posted yesterday

Job description


Senior Data Engineer


Location: Remote (U.S.) or New York City


Type: Full-Time


We're seeking a talented Senior Data Engineer to help reshape how brands communicate—by empowering them to market with precision, not excess. You’ll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. It’s a fast-moving, hands-on role with a tight-knit engineering team and real impact from day one.


Responsibilities

  • Architect and maintain robust data pipelines that scale across high-volume sources
  • Develop an event taxonomy and normalization layer for clean, consistent data ingestion
  • Use tools like Airflow and dbt to manage data workflows and transformation
  • Collaborate with data science and ML teams to support model training and deployment
  • Design optimized data models for reliable storage and analysis
  • Monitor data workflows and troubleshoot issues across the full pipeline
  • Implement ETL/ELT processes with a sharp eye for performance and reliability
  • Contribute to feature engineering and A/B test infrastructure in big data environments
  • Uphold high standards for data quality, security, and governance


You Bring

  • 5+ years in data engineering, working with complex, high-volume systems / significant data. Think Spotify, Wayfair, Shopify, Netflix etc...
  • Strong Python and SQL chops
  • Experience with asynchronous Python
  • Familiarity with DAG tools like Airflow, dbt, or Dagster
  • Comfort jumping between reporting layers and infrastructure architecture
  • Solid understanding of cloud platforms (AWS, GCP, Azure) and deploying data solutions
  • Knowledge of dev-ops best practices and containerized environments
  • Strong communication skills—able to translate technical complexity clearly
  • Ownership mindset with a bias for building, refining, and shipping production-quality systems


The position is fully remote but you must be based in the US. We will pay up to $230k per annum + benefits