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Remote Data Engineer Jobs in Long Branch, NJ (NOW HIRING)

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone) * Design and implement efficient data handling system based of Java and Spark tech stack. * Perform and ...

Senior Data Engineer

New York, NY · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

What you will bring * 2+ years in data engineering or analytics engineering with proven ability to ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

Senior Staff Data Engineer

New York, NY · On-site

$270K - $338K/yr

The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to ...

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process ...

Data Engineer (US Eastern Time Zone)

New York, NY · Remote

$117K - $140K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity. In this role, you will be ...

Remote, USA About Syllo Syllo is defining the Litigation AI category. We are the first unified ... Partner with Data Engineering: Work hand-in-hand with our Senior Data Engineer to build efficient ...

Data QA

New York, NY · Remote

$117K - $140K/yr

Cotiviti is seeking a QA Engineer with strong experience in testing data pipelines and validating ... Strong communication skills and ability to work in a remote, collaborative environment.

Head of Data Engineering

New York, NY · Remote

$230K - $260K/yr

We view Data Engineering as a specialized discipline of Software Engineering, not a traditional ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Head of Data Engineering

Brooklyn, NY · Remote

$230K - $260K/yr

We view Data Engineering as a specialized discipline of Software Engineering, not a traditional ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Data & AI Engineer

New York, NY · Remote

$100K - $125K/yr

Headquartered in the heart of New York City, we also welcome remote employees across the United ... We're looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses ...

Data Migration Engineer

New York, NY · Remote

$80K - $110K/yr

We're looking for a Data Migration Engineer (ETL Developer) to join our team. You'll be at the ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

Showing results 41-60

Remote Data Engineer information

See Long Branch, NJ salary details

$44K

$128.2K

$175.4K

How much do remote data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data engineer in Long Branch, NJ is $128,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $135,900.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Long Branch, NJ?

The most popular types of Data Engineer jobs in Long Branch, NJ are:

What are popular job titles related to Remote Data Engineer jobs in Long Branch, NJ?

For Remote Data Engineer jobs in Long Branch, NJ, the most frequently searched job titles are:

What cities near Long Branch, NJ are hiring for Remote Data Engineer jobs?

Cities near Long Branch, NJ with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Long Branch, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 3% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,189 per year, or $61.6 per hour.

Lead Java Spark, Bigdata Engineer

Xforia, Inc.

New York, NY • On-site, Remote

$61 - $80.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Position
Lead Java Spark, Bigdata Engineer
Location
NYC NY ( Remote , prefer EST / CST Zone)
  • Design and implement efficient data handling system based of Java and Spark tech stack.
  • Perform and oversee tasks such as writing scripts, calling APIs, and writing SQL queries.
  • Implement data stores that support the scalable processing and storage of our high-frequency data.
  • Configure and provide availability for data-access tools used by all data scientists.

Skill Sets
  • Sr. big data engineer with advance Java experience to join our modernization initiative team.
  • 8 to 10 years of Spring boot, Advance Java, python, Spark, and Scala experience.
  • Bachelor's degree or higher in computer science, data science, or a related field
  • Hands-on experience with data cleaning, visualization, and reporting
  • At least 2 years of relevant experience with real-time data stream platforms such as Kafka and Spark Streaming
  • Experience working in an agile environment.
  • Familiarity with the Hadoop ecosystem
  • Experience with platforms such as MapReduce, Spark, Hive
  • Experience with AWS is a plus.
  • Excellent analytical and problem-solving skills
  • Excellent communication and interpersonal skills