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Remote Data Engineering Jobs in New Jersey (NOW HIRING)

$105K - $200K/yr

This role will report to the Director - Data Engineering and work closely with data analysts, data engineers, data scientists, and clinical leaders to produce deliverables for internal and external ...

GCP Data Engineer

Jersey City, NJ ยท Remote

$119K - $143K/yr

GCP Data Engineer Remote, US $75-85k plus bonus plus benefits For more information on benefits and what we offer please visit us at The posted range is the hiring range for this role - a subset of ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Although the position can be remote, reporting into Newton, NJ, from time to time it may be ... Partner with Data Engineering to ensure data pipelines, transformations, and datasets support ...

Lead UI developer

Jersey City, NJ ยท Remote

$60.75 - $77.75/hr

Remote Duration: 6+ Months Visa: USC/GC Rate: Depends Upon Experience We are seeking senior Technical Leads to guide architecture, solution design, and engineering execution across data migration ...

Lead UI developer

Jersey City, NJ ยท Remote

$60.75 - $77.75/hr

Remote Duration: 6+ Months Visa: USC/GC Rate: Depends Upon Experience We are seeking senior Technical Leads to guide architecture, solution design, and engineering execution across data migration ...

Data Engineer

Cedar Brook, NJ ยท On-site +1

$113K - $136K/yr

Reporting to the Head of Engineering - Disruption Management Solutions (OCCam), you will be part of the OCCam team. We are hiring two Data Engineers to grow the team. KEY RESPONSIBILITIES * Ingest ...

Showing results 21-40

Remote Data Engineering information

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 are the most commonly searched types of Data Engineering jobs in New Jersey?

The most popular types of Data Engineering jobs in New Jersey are:

What job categories do people searching Remote Data Engineering jobs in New Jersey look for?

The top searched job categories for Remote Data Engineering jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Data Engineering jobs?

Cities in New Jersey with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Business Systems Analyst - Data Engineering

4 Staffing Corp

Newark, NJ โ€ข On-site, Remote

Full-time

This job post hasย expired 3 days ago.ย Applications are no longer accepted.


Job description

Business Systems Analyst - Data EngineeringNewark, NJ, United StatesAbout the Job Business Systems Analyst - Data EngineeringJob Title: Business Systems Analyst - Data Engineering (Financial Services)Full-time, direct employmentHybrid onsite/remote - Newark, NJNo visa sponsorship or C2C at this timeJob Description: Our client is seeking an experienced Business Systems Analyst with a focus on Fixed Income to join their buy-side team. The ideal candidate will have a strong background in business analysis within the Fixed Income domain, with expertise in various Fixed Income instruments. The candidate should possess excellent analytical skills, a deep understanding of data governance principles, and proficiency in technical tools for data analysis and system analysis.

Responsibilities:

Business Analysis at Buy-Side Fixed Income Firm: Utilize your expertise in business analysis to gather, document, and analyze business requirements, particularly within the Fixed Income domain at a buy-side firm.

Fixed Income Instruments: Demonstrate comprehensive knowledge and experience in various Fixed Income instruments, including bonds, derivatives, and structured products.

Data Governance and Data Quality: Ensure high data quality is maintained throughout the data lifecycle of projects by applying data governance principles and implementing quality control measures. SQL Proficiency: Write SQL queries, understand stored procedures, and conduct data analysis to extract insights from large datasets and support business decision-making.

Process Improvement: Assess current business processes, identify areas for improvement, and propose change-driven solutions to enhance business outcomes and efficiency.

Technical Proficiency: Demonstrate proficiency in technical tools and techniques for data analysis, documentation, and system analysis, including SQL, data modeling, and system architecture.

Analytical and Problem-Solving Skills: Apply strong analytical and problem-solving skills to conduct root cause analysis on system, process, or production problems, and provide viable solutions to address them.

Qualifications:

Bachelors degree in Finance, Mathematics, Economics, Computer Science, or a related field.5+ years of experience in Business Analysis at a buy-side Fixed Income firm.

Experience with various Fixed Income instruments, including bonds, derivatives, and structured products.

Working knowledge of data governance principles and ability to ensure high data quality.

Proficiency in writing SQL queries, understanding stored procedures, and conducting data analysis.

Innate ability to assess current processes and propose change-driven solutions for improvement.

Proficiency in technical tools for data analysis and system analysis, including SQL, data modeling, and system architecture.

Strong analytical and problem-solving skills, with the ability to conduct root cause analysis and provide viable solutions.

Experience working with large datasets and basic knowledge of Python.

Advanced knowledge of Excel and experience with Business Intelligence Reporting tools.

Experience with Application Lifecycle Management (ALM) tools such as Jira and Confluence.

Understanding of relational database models and experience with business analysis best practices and industry standards.

If you meet these qualifications and are passionate about business analysis within the Fixed Income domain, we encourage you to apply for immediate consideration.

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