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

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

IntegriChain

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Work with Product, Engineering, MDM, Data Science, DevOps, Security, and business stakeholders to align data solutions to enterprise priorities. * Modern ELT execution: Use dbt or similar ELT tooling ...

First Citizens Bank

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

First Citizens Bank

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Flemington, NJ

Remote Data Engineer information

See Flemington, NJ salary details

$45K

$131.1K

$179.4K

How much do remote data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data engineer in Flemington, NJ is $131,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $139,000.00 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.
More about Remote Data Engineer jobs

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

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

What job categories do people searching Remote Data Engineer jobs in Flemington, NJ look for?

The top searched job categories for Remote Data Engineer jobs in Flemington, NJ are:

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Flemington, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $131,126 per year, or $63 per hour.

Sr. Data Engineer - Provider Registry - Remote

Bedminster, NJ • On-site, Remote

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

$116K - $140K/yr

Full-time

Re-posted 16 hours ago

Job description

NAVA Software solutions is looking for a Sr. Data Engineer - Provider Registry
Details:
Sr. Data Engineer - Provider Registry
Location: Remote project
Duration: 6-12 months
The Senior Data Engineer will apply a logical, systematic approach to problem-solving using mathematical and statistical techniques and/or innovative/quantitative analytical approaches to identify and qualify the Provider Registry and make recommendations to resolve business problems and help drive change. This involves gathering, manipulating and synthesizing data, models and other relevant information to draw conclusions and provide segmentation of the Provider Registry.The right person for this role will have a background in Data Engineering, will have rich experience building robust software solutions, and will have experience working with large data sets.
What You Will Do:
  • Applying new algorithms to enable fuzzy matching
  • Scaling application of the algorithm using dataframes such as Pandas and GPUs
  • Applying new algorithms to introduce new linkages from the data
  • Segmentation using diverse intuitive and non-intuitive data points and potentially fuzzy matching data sources
  • Working to design and build new approaches to measuring quality and improving algorithms and matching processes
  • Working with the data platform to build solutions
  • Prepare reports and present analytic results in non-technical language with an orientation toward answering questions and addressing issues

Skills and Experience You Will Need:
  • Experience building production data pipelines with distributed data processing technologies.
  • Hands-on and deep experience with schema design and data modeling.
  • Proficiency in Python and are passionate about writing clean, supportable code.
  • Advocacy for data quality. You have a strong opinion on when data audits, unit tests, and documentation can be most effective.
  • Technical thought leadership
  • Proficient business skills to understand problems and build the algorithms necessary to find the right answers applicable to the business needs
  • Experience and enjoy mentoring others.

Ideal Candidate:
  • 5+ years experience as a Data EngineerDeveloper
  • Python
  • Experience with Scala, Pandas
  • Experience debugging complex data pipelines
  • Experience with Unix/Linux
  • Azure or AWS experience
  • Experience with databases
  • RDBMS/SQL
  • Experience with data normalization

Desired Skills:
  • Experience with Big Data fundamentals
  • Machine learning libraries on Python (including unsupervised learning models)
  • Hadoop, Spark, Parquet
  • Experience with AWS
  • Experience with APIs
  • Experience with Java
  • Experience with streaming technologies
  • Kafka, Flink, Spark Streaming
  • Experience with NoSQL databases
  • Experience with monitoring tools
  • Knowledge of K8s/Docker
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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