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Remote Data Engineer Jobs in Edison, 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 II

Manhattan, NY · On-site +1

$120K - $140K/yr

Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ... Remote, US Salary Range $120,000--$140,000 USD All employees are responsible for adherence to the ...

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

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 ...

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

The incumbent will work closely with data professionals, analysts, and engineers to build and ... Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or ...

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

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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 ...

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 ...

Senior Data Engineer

New York, NY · On-site +1

$156K - $195K/yr

As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

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Remote Data Engineer information

See Edison, NJ salary details

$45.1K

$131.5K

$179.9K

How much do remote data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote data engineer in Edison, NJ is $131,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $139,400.00 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.

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 are the most commonly searched types of Data Engineer jobs in Edison, NJ? The most popular types of Data Engineer jobs in Edison, NJ are:
What are popular job titles related to Remote Data Engineer jobs in Edison, NJ? For Remote Data Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Edison, NJ look for? The top searched job categories for Remote Data Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Remote Data Engineer jobs? Cities near Edison, NJ with the most Remote Data Engineer job openings:
Data Engineer - Matillion ETL

Data Engineer - Matillion ETL

Noblesoft Technologies

Secaucus, NJ • Remote

$117K - $140K/yr

Contractor

Posted 6 days ago


Job description

Job Title: Data Engineer - Matillion ETL
Location: Secaucus, NJ(Remote)
Mandatory - Snowflake, Matillion, ETL

Job Description / Key Responsibilities: 
Job Summary:
We are looking for a skilled Data Engineer to join our team. The ideal candidate will have experience in building and optimizing data pipelines, architectures, and data sets. You will be responsible for creating and maintaining scalable data architectures, ensuring data availability, and enabling data-driven decision-making processes. This role requires a deep understanding of data management practices, data warehousing, ETL processes.
Key Responsibilities:
• Data Pipeline Development: Design, construct, test, and maintain highly scalable data management systems. Develop and implement architectures that support the extraction, transformation, and loading (ETL) of data from various sources.
• Data Integration: Integrate structured and unstructured data from multiple data sources into a unified data system, ensuring data quality and consistency.
• Data Warehousing: Build and maintain data warehouses and data lakes to store and retrieve vast amounts of data efficiently. Optimize the performance of databases and queries to meet business needs.
• Data Processing: Implement data processing frameworks (e.g., Hadoop, Spark) to process large datasets in real-time or batch processing.
• Automation and Monitoring: Automate manual processes, optimize data delivery, and develop data monitoring systems to ensure data integrity and accuracy.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and provide technical solutions that meet business requirements.
• Performance Tuning: Optimize the performance of ETL processes, databases, and data pipelines to handle large volumes of data and reduce processing times.
Required Qualifications:
• Bachelor’s degree in computer science, Engineering, Information Technology, or a related field.
• 5+ years of experience as a Data Engineer or in a similar role.
• Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Good to have hands on programming languages like Python.
• Strong understanding of Matillion ETL tool and processes.
• Experience with data modeling and data architecture design.