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Remote Amazon Data Entry Jobs in Philadelphia, PA

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

... for the remote option.) Job Summary We are seeking a Data Engineer to join our Data Product ... Experience with Amazon EKS (Elastic Kubernetes Service). * Background working with large-scale ...

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

... for the remote option.) Job Summary We are seeking a Data Engineer to join our Data Product ... Experience with Amazon EKS (Elastic Kubernetes Service). * Background working with large-scale ...

Sr. AWS Architect

Camden, NJ · On-site +1

$65.25 - $85.50/hr

Sr. AWS Architect Remote - Customer is in Camden, NJ HM seeking candidates Who are more AWS ... the data from S3 into data warehouse built using Amazon Redshift., Develop design of data ...

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Independent Medicare Agent (Remote)

Philadelphia, PA · Remote

$104K - $136K/yr

Remote Company Overview At Healthpilot, we're passionate about helping seniors get into the right ... Focus on sales and relationships, not data entry and paperwork A Better Fit Means a Stronger Book

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Remote Amazon Data Entry information

See Philadelphia, PA salary details

$11

$19

$28

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

As of Aug 22, 2026, the average hourly pay for remote amazon data entry in Philadelphia, PA is $19.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $22.07 per hour, depending on experience, location, and employer.

What is a remote Amazon data entry?

A Remote Amazon Data Entry job involves entering, updating, and managing data related to Amazon's products, inventory, orders, or customer information. This role typically requires working with spreadsheets, databases, and Amazon's internal systems to ensure accurate and timely data processing. Employees may also be responsible for verifying product listings, correcting errors, and maintaining organized records. The job is performed entirely online, allowing individuals to work from home while ensuring Amazon's data remains accurate and up to date.

What does a typical day look like for someone working in remote Amazon data entry?

A typical day in Remote Amazon Data Entry involves inputting or updating product information, processing orders, verifying data accuracy, and ensuring listings meet Amazon’s guidelines. You may also communicate with team members via email or chat to resolve discrepancies and maintain deadlines. The majority of the work is performed independently from a home office and requires strong focus to manage multiple tasks efficiently. While collaboration with other departments, such as inventory or customer service, can occur, much of the role is task-driven and self-paced.

What are the key skills and qualifications needed to thrive in remote Amazon data entry, and why are they important?

To excel as a Remote Amazon Data Entry specialist, you need attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and Amazon Seller Central or similar e-commerce platforms is often preferred. Strong organizational skills, time management, and the ability to work independently are valued soft skills in this role. These competencies ensure error-free data management, efficient workflow, and smooth coordination with remote teams or supervisors.

Does Amazon have remote data entry jobs?

Amazon offers remote data entry jobs that typically involve inputting and managing data using various software tools. These positions often require strong attention to detail, basic computer skills, and the ability to work independently in a virtual environment.

How do you get a remote job from Amazon?

To get a remote Amazon data entry job, you should regularly check Amazon's official careers website for remote openings, ensure your resume highlights relevant data entry skills and experience, and prepare for the application and interview process. Having proficiency in data management tools like Excel and attention to detail can improve your chances.

Is Remote Amazon Data Entry really hiring remote workers?

Remote Amazon Data Entry positions are often advertised as remote jobs, but availability varies by employer and current hiring needs. Many companies in data entry and e-commerce support remote work, requiring skills in data management and familiarity with tools like spreadsheets. Job seekers should verify the specific employer's remote work policies and job postings for accurate information.

What are the most commonly searched types of Amazon Data Entry jobs in Philadelphia, PA?

The most popular types of Amazon Data Entry jobs in Philadelphia, PA are:

What are popular job titles related to Remote Amazon Data Entry jobs in Philadelphia, PA?

For Remote Amazon Data Entry jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Entry jobs in Philadelphia, PA look for?

The top searched job categories for Remote Amazon Data Entry jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Amazon Data Entry jobs?

Cities near Philadelphia, PA with the most Remote Amazon Data Entry job openings:

Infographic showing various Remote Amazon Data Entry job openings in Philadelphia, PA as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,873 per year, or $19.7 per hour.

Data Engineer, Enterprise Data Engineering

Comcast

Philadelphia, PA • On-site, Remote

$108K - $162K/yr

Full-time

Posted 15 days ago


Job description

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

This is a new Engineer 3 position that will be responsible for developing, implementing, and maintaining data pipelines and ETL processes critical to support Comcast's national locates program. Ensure accurate and timely ingestion of locates-related data from multiple sources. Works closely with operations & analytics teams to structure data effectively for actionable reporting and analysis. The ideal candidate must have a passion for data and a willingness to adapt to various system/operational challenges to work with disparate data sources both internally & externally.

Job Description

As part of the National Locates/Damage Prevention team, this Data Engineer is based in our Denver (Englewood), CO office, but may also sit out of our Philadelphia office. It is not approved for remote or virtual employment. We are unable to provide sponsorship for this role now or in the future.

Core Responsibilities:

  • Develop, implement and maintain robust ETL processes for ingestion, transformation and loading of locates data.
  • Design scalable solutions for large data volumes, optimizing for performance & cost.
  • Engage external teams in the creation of data pipelines from various sources, including 811 one call centers, locates vendors and ticket management systems.
  • Collaborate closely with analysts and operational stakeholders to ensure data accuracy, quality and consistency.
  • Monitor, troubleshoot and optimize data pipelines to maintain efficient and reliable data flow.
  • Document data structures and processes clearly to facilitate cross-team understanding and usage.
  • Identify and implement improvements to enhance data quality and processing efficiency.
  • Ensure compliance with data governance standards, cybersecurity and best practices.
  • Provide clear communication of complex technical concepts to non-technical stakeholders


Qualifications:

  • Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field.
  • 5+ years of experience in data engineering, including developing and maintaining data pipelines and ETL processes.
  • Proficiency in SQL, Python, and cloud-based data platforms (DataBricks, AWS, Azure, GCP).
  • Experience with DevOps practices, version control (Git), and collaborative tools (Jira, Confluence).
  • Familiarity with Bash, Linux preferred and GIS data, ticket management systems, and locates/811 operations a plus.

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team - make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Respect and promote inclusion & diversity.
  • Do what's right for each other, our customers, investors and our communities.


Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Amazon Web Services (AWS), Big Data, Data Architecture Development, Databricks Platform, Data Engineering, Python (Programming Language)

Compensation

Colorado Pay Range: $108,578.72 - $162,868.08Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

5-7 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.