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Remote Data Engineer Jobs in Mount Laurel, NJ (NOW HIRING)

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 ...

$113K - $136K/yr

PURPOSE As a Data Engineer, you will accelerate new airline onboarding by ingesting heterogeneous airline systems and external sources, and turning them into trusted data for OCCam, SITA's AI-powered ...

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 ...

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 ...

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 ...

$104K - $142K/yr

You'llsupport portfolio teams by enabling governance-aligned data engineering practices, ensuring data is produced in a consistent, secure, and scalable way without owning team data products or ...

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Showing results 1-20

Remote Data Engineer information

See Mount Laurel, NJ salary details

$44.1K

$128.5K

$175.8K

How much do remote data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote data engineer in Mount Laurel, NJ is $128,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,200.00 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 Mount Laurel, NJ?

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

What are popular job titles related to Remote Data Engineer jobs in Mount Laurel, NJ?

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

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Mount Laurel, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,461 per year, or $61.8 per hour.

Data Engineer III

Philadelphia, PA • On-site, Remote

National Board of Medical Examiners
Education • 201 - 500 employees

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

POSITION OVERVIEW

NBME is looking for a Data Engineer to join a highly skilled and growing team of data engineers and BI developers. This team successfully launched and enhances a data product on AWS for medical doctors. Read more here.

In this role, you will use your data engineering and problem-solving skills to deliver meaningful insights to internal staff and external customers. The Data Engineer will help modernize, expand, and optimize NBME's data platform by building data lakes, complex data integration pipelines, and scalable data solutions that support analytics, AI/ML, and business decision-making.

This role will apply AI-assisted engineering practices to improve development efficiency and share best practices for AI assisted engineering across the IT organization.

While this role can be designated as remote, you are offered the flexibility to select if you prefer to work primarily remotely, hybrid, or onsite. We're open to considering candidates within 50 miles of our office location in Philadelphia, PA.

Please note that onsite interviews and onboarding at our Philadelphia office may be required for this role. If applicable, advance notice will be provided to support planning.

At NBME, we continue to innovate and improve how we fulfill the evolving needs of the healthcare community. This commitment starts and ends with the people at NBME. By recruiting and empowering talented individuals from various disciplines and backgrounds, which includes professionals with diverse life experiences, abilities, and perspectives, NBME can take a well-informed, robust approach to advancing medical education and assessment for years to come.

RESPONSIBILITIES

  • Participates in requirements gathering, analyzes and architects project and/or system data architectures. In collaboration with subject matter experts, data analysts, solutions and enterprise architects, ensures designs are consistent and coherent to the enterprise architecture standards and existing environment.
  • Be a critical part of a scrum team in an agile environment, ensuring the team successfully meets its deliverables each sprint.
  • Trains and mentors team members
  • Work independently and effectively to manage one's time across multiple priorities and projects.
  • Assures the integrity and accuracy of the corporate data, with particular attention to data security.
  • Responsible to ensure high data quality for Data Services, Analytics and Master Data Management.
  • Perform Logical and Physical data modeling with an agile mindset
  • Build automated, scalable, test-driven data pipelines.
  • Utilize software development practices such as version control via Git, CI/CD, and release management.
  • Build data products using various visualization, BI tools and data science tools.
  • Collaborate with Data Engineers, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks.
  • Be a trusted partner by providing agile capabilities and outstanding services through digital transformation

QUALIFICATIONS

Skills and Abilities

  • Expert in data modeling, database management and data profiling techniques, particularly in Data Warehouse, Master Data Management (MDM), and in the design and delivery of Business Intelligence solutions.
  • Deep understanding of industry standards and best practices
  • Strong analytic skills related to working with structured and unstructured datasets.
  • Critical thinker and creative problem-solving skills along with the ability to communicate well with stakeholders throughout the organization.
  • Highly proficient in PL/SQL
  • Experience with relational SQL and NoSQL databases, including Oracle, MS SQL Server and HBase.
  • Experience with data integration tools: Informatica, Boomi, Fivetran, MS Integration Services, Sqoop, etc.
  • Experience with one of the cloud vendors and services: AWS, Google, Microsoft, Snowflake
  • Experience consuming and building APIs
  • Experience with object-oriented/object function programming languages: Python, Java, C++, Scala, etc.
  • Experience with visual analytics tools: QlikView, Tableau, Power BI, Micro strategy etc.
  • Experience utilizing Agile methodology for development.
  • Experience with Singer and DBT is a plus

Experience

  • Minimum of 3 years of Data Engineering and Data Warehousing experience.
  • Minimum of 2 years of experience with python
  • Minimum of 2 years of experience with data integration tools like Informatica, Boomi, AWS - Glue etc.
  • Minimum 1 year of experience with AWS services like S3 and Redshift

Education

  • Bachelor's Degree in Computer Science or related technical field and 6 years of relevant work experience. Master's degree is a plus.

About NBME

NBME is a not-for-profit organization that specializes in the creation of assessments and learning tools for physicians and health professionals. Our mission is to advance assessment of these professionals to achieve optimal care for all, supporting the development of a highly effective, diverse and compassionate health care workforce.

Founded in 1915, NBME develops and manages the United States Medical Licensing Examination® with the Federation of State Medical Boards. We offer a comprehensive portfolio of assessment products for every stage of the medical school journey and provide assessment services to various health profession organizations.

We are dedicated to advancing innovative assessment approaches through research, collaboration and contributions to the medical education and assessment communities. In 2024, we expanded our assessment capabilities to include simulation through the acquisition of MedVR Education.

Learn more on NBME's website.

NBME's Community Collaborations and Contributions

NBME believes that a key path to meeting our mission is collaborating with and supporting our communities. Our Community Collaborations and Contributions programs provide resources and recognition to medical educators and researchers advancing the field of assessment throughout their careers. In addition, we invest in fee assistance, scholarships and pathway programs to aid learners and help support increased representation in health care. Headquartered in Philadelphia, NBME also gives to local organizations that advance health equity and access and positively impact social determinants of health.

Compensation we are offering for this position is at $112,043- $140,000/year. Please note that the offered rate for this position typically aligns with the minimum to midrange of this grade, but it can vary based on the successful candidate's qualifications and experience, department budget, and an internal equity review.

The NBME offers competitive salaries, excellent benefits, and a rewarding work environment. Excellent Benefits include: Healthcare, Dental, Prescription, and Vision plans; 401(k) w/match, Tuition Reimbursement Plan, Commuter Benefit: Public Transit or Parking options. Remote Friendly Workplace.

NBME is an Equal Opportunity Employer. We will consider all qualified applicants for employment without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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