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

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 ...

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 ...

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

You will work with both structured and unstructured data, ensuring high data quality and availability for complex analysis by data scientists, engineers, and other stakeholders. Who we are looking ...

Data Engineer

New York, NY · On-site +1

$118K - $144K/yr

Data Engineer to analyze data engineering problems and develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex ...

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

POSITION SUMMARY The Data Engineer will be responsible for designing, building, and supporting ... Flex remote work time * Flex Summer Fridays * Employee engagement programs * Volunteer time off

Data Engineer

New York, NY · On-site +1

$118K - $173K/yr

Data Engineer to develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Senior Data Engineer

New York, NY · Remote

$115K - $130K/yr

Must be US Citizen or GC holder we will not sponsor or work with any third parties. 100% Remote ... The Data Engineer III will play a pivotal role in designing, developing, and maintaining the data ...

Data Engineer

New York, NY · On-site +1

$118K - $173K/yr

Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Data Engineer

New York, NY · On-site +1

$118K - $173K/yr

Data Engineer to develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

Lead Data Engineer

New York, NY · On-site +1

$170K - $210K/yr

We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

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Showing results 1-20

Remote Data Engineer information

See Rutherford, NJ salary details

$45.4K

$132.2K

$180.9K

How much do remote data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote data engineer in Rutherford, NJ is $132,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 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.
What are the most commonly searched types of Data Engineer jobs in Rutherford, NJ? The most popular types of Data Engineer jobs in Rutherford, NJ are:
What are popular job titles related to Remote Data Engineer jobs in Rutherford, NJ? For Remote Data Engineer jobs in Rutherford, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Rutherford, NJ look for? The top searched job categories for Remote Data Engineer jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Remote Data Engineer jobs? Cities near Rutherford, NJ with the most Remote Data Engineer job openings:
Senior Data Engineer

Senior Data Engineer

Beam Impact

New York, NY • On-site, Remote

$176K - $198K/yr

Full-time

Retirement

Posted 14 days ago


Job description

Are you looking to join a highly motivated team working for social impact? At Beam we're on a mission to shift $10 Billion to high-impact nonprofits.
About the role
As a Senior Data Engineer on our Engineering team with a focus on data development, you will be working with a team of talented developers responsible for helping create and maintain the data platform, infrastructure, and processes that power the internal and external facing business intelligence that drives Beam's mission. Our data platform processes more than 7TB of data every 90 minutes, delivering complex analytics to our partners and actionable data to our internal stakeholders. You will have the opportunity to work with a wide range of open source data technologies, building new features, supporting existing functionality through bug fixing and enhancements, and will have a significant impact on a core part of our business.
We're a highly collaborative team motivated by impact and our high growth environment. This is an opportunity for someone excited to have a high level of impact on Beam's continued success.
Our Data tech stack
  • Apache Spark running pyspark
  • Kubernetes running on EKS; managed using k9s, Helm and eksctl
  • Apache Airflow as our workflow orchestrator
  • Testing automation via pytest
  • uv as our Python package manager
  • Snowflake as our data warehouse
  • S3 as our distributed object storage / data lake

What you'll do
  • Design and plan new platform data solutions through collaboration with our Head of Engineering, our Engineering and product teams, and internal stakeholders using RFC and Tech Spec documents
  • Collaborate with your peers to execute and implement high-quality software
  • Collaborate with your peers to assist in planning and execution of new software features, bringing a focus on data platform requirements
  • Drive the execution of your work from spec document to delivery through our SDLC
  • Grow your skillset and be a force multiplier by sharing knowledge through code reviews, pair programming, 1-1 conversations, and broader team trainings
  • Develop subject matter expertise in the Beam data ecosystem and our reporting platform through code development, directly supporting our Client Strategy team, Business Operations, and our partners
  • Understand and strive to balance tech debt with practicality while designing solutions
  • Gain knowledge of the nonprofit giving and e-commerce enablement spaces
  • Foster a team culture around Beam's values of community, inclusivity, care, accountability and support
  • Strive for continuous improvement through goal setting, feedback, and other growth opportunities

What we're looking for
  • 4+ years as a Data Engineer or Senior Data Engineer utilizing Python and SQL to develop data intensive applications or insights, or 5+ years of experience as a Software Engineer using Python and SQL, working in a primarily Python codebase
  • Experience working on production-level data systems in a collaborative team environment
  • Proficient with Python and SQL
  • Proficient with relational databases, particularly PostgreSQL
  • Experience with Apache Airflow for task orchestration
  • Experience using a Business Intelligence tool, like Tableau
  • Familiar with fundamental development principles and processes such as observability, performance optimization, continuous integration, automated testing, and cloud infrastructure
  • Familiar with distributed computing architecture, data warehouse and data lake storage patterns
  • Strong communication skills with the ability to explain and advocate for technical projects to non-technical roles

Nice to haves
  • Experience in an early startup
  • Experience with setting up and administrating a Business Intelligence tool, like Tableau
  • Experience with Apache Spark
  • Experience with managing a Kubernetes cluster
  • Bachelor's degree in Computer Science or related technical or analytical field (or equivalent training, fellowship, or work experience)

Compensation and perks
  • Expected annual compensation range: $176,000-198,000 USD
    • Base salary $160,000-180,000 USD
    • Up to 10% annual bonus based entirely on individual performance
  • Stock options
  • 50% match on 401k contributions of up to 6% of base salary
  • $100 monthly wellness stipend
  • $750 annual professional development budget
  • See a full list of perks at https://beamimpact.com/careers

Location - Remote
We are a remote-first company, so our team works from wherever they are. We also have office space in New York, currently in Hearst Tower, where you're free to come work from as well. We have no plans to require in-office work.