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Remote Data Entry Coding Jobs in Burlington, NJ (NOW HIRING)

CEI

Data Engineer - Databricks, AWS, Python

Philadelphia, PA · Remote

$109K - $131K/yr

Data Engineer - Databricks, AWS, Python 100% Remote / MUST interview on-site: Phila., PA 19103 $125 ... Proficiency with infrastructure-as-code practices, preferably Terraform. * Experience implementing ...

SofterWare

Client Data Specialist

Fort Washington, PA · Remote

Enjoy a remote-first, flexible work environment that supports your well-being and balance. * Be ... Execute billable professional services work as assigned, including database cleanup, code ...

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All JobsData Entry Coding JobsRemote Data Entry Coding JobsRemote Data Entry Coding Jobs in Burlington, NJ

Remote Data Entry Coding information

See Burlington, NJ salary details

$10

$19

$27

How much do remote data entry coding jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote data entry coding in Burlington, NJ is $19.04, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.39 per hour, depending on experience, location, and employer.

What is remote data entry coding?

Remote data entry coding involves entering, updating, and managing data in digital systems from a location outside a traditional office environment. This job typically requires accurately inputting information, such as codes, numbers, or text, into databases or software platforms. Employees often work from home and may handle sensitive data, making attention to detail and confidentiality important. Common industries hiring for these roles include healthcare, finance, and e-commerce. Remote data entry coding jobs usually require basic computer skills, familiarity with relevant software, and reliable internet access.

What are the key skills and qualifications needed to thrive as a remote data entry coding specialist?

To thrive as a Remote Data Entry Coding Specialist, you need strong attention to detail, fast and accurate typing skills, and a solid understanding of data management procedures, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and sometimes basic coding or database management systems is typically required. Excellent organizational skills, self-motivation, and effective time management are crucial soft skills for remote work success. These competencies ensure error-free data processing, maintain data integrity, and support efficient workflow in a remote environment.

What are the most common challenges faced in a remote data entry coding role and how can they be managed?

One of the main challenges in a remote data entry coding position is maintaining high accuracy and attention to detail while working independently. Distractions at home and repetitive tasks can sometimes lead to errors or decreased productivity. Setting up a dedicated, quiet workspace and following a structured daily routine can help minimize mistakes. Additionally, staying connected with team members via regular check-ins and using collaboration tools ensures data consistency and timely communication of any issues.

What is the difference between Remote Data Entry Coding vs Remote Medical Coding?

AspectRemote Data Entry CodingRemote Medical Coding
Required CredentialsBasic data entry skills, sometimes certification in data managementMedical coding certification (e.g., CPC, CCS)
Work EnvironmentHome or office, computer-basedHome or office, computer-based, often in healthcare settings
Industry UsageVarious industries including healthcare, finance, retailPrimarily healthcare industry
Search & Comparison IntentFocus on data entry tasks, less specializedFocus on medical coding, healthcare documentation

Remote Data Entry Coding involves basic data entry tasks across various industries, requiring minimal certifications. Remote Medical Coding is specialized for healthcare, requiring medical coding certifications. While both roles are remote and computer-based, medical coding demands industry-specific knowledge and credentials, making it more specialized than general data entry coding.

Can you get a remote data entry coding job with no experience?

Remote data entry coding jobs often require basic computer skills and attention to detail, but many entry-level positions do not require prior experience. Candidates can improve their chances by learning relevant software, such as spreadsheet or database tools, and demonstrating accuracy and reliability. Some employers may offer training or onboarding for new hires without experience.

Do remote data entry coding jobs really exist?

Remote data entry coding jobs are real positions that involve inputting and coding data from a remote location, often requiring skills in data management and familiarity with specific software or coding systems. These jobs are commonly found in industries like healthcare, finance, and administration, and may require attention to detail and accuracy. They are widely available through various online job platforms and can offer flexible schedules.

What are popular job titles related to Remote Data Entry Coding jobs in Burlington, NJ?

For Remote Data Entry Coding jobs in Burlington, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Entry Coding jobs in Burlington, NJ look for?

The top searched job categories for Remote Data Entry Coding jobs in Burlington, NJ are:

What cities near Burlington, NJ are hiring for Remote Data Entry Coding jobs?

Cities near Burlington, NJ with the most Remote Data Entry Coding job openings:

Remote Data Entry Coding jobs near you
Infographic showing various Remote Data Entry Coding job openings in Burlington, NJ as of July 2026, with employment types broken down into 5% Internship, 62% Full Time, 9% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $39,608 per year, or $19 per hour.

Data Analytics Developer (Remote Eligible)

Mathematica

Princeton, NJ • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We are seeking an intellectually curious Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.

Responsibilities:

  • Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creating and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found 

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