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Remote Amazon Data Entry Jobs in Raleigh, NC (NOW HIRING)

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.

Monday-Friday (4 days onsite - 1 remote) Hours: 8:00 AM - 5:00 PM Job Summary: The Order Processing ... Perform manual data entry, validation, and corrections to maintain order accuracy. * Monitor order ...

Be Seen First

Remote but Pacific and East coast preferred Required: * Strong attention to detail and ... Experience with data entry, document management, administrative support, or process-oriented work.

New

Experience with data entry, document management, administrative support, or process-oriented work ... Remote but Pacific and East coast preferred VIVA is an equal opportunity employer. All qualified ...

New

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Experience performing accurate clinical data entry and managing study documentation. * Familiarity ... This position is not eligible for employment sponsorship. #LI-CES and #LI-DNP #LI-HCP #remote IQVIA ...

TELEPHONE SALES REP - REMOTE

Durham, NC · On-site +1

$11 - $20/hr

Remote work from home Department: Fundraising Operations Reports To: Center Manager and Coach ... Basic computer skills are often required for data entry and managing donor information. Telephone ...

Remote work from home Department: Fundraising Operations Reports To: Center Manager and Coach ... Basic computer skills are often required for data entry and managing donor information. Telephone ...

This position will be located at our office in Raleigh, NC, Austin, TX, or remote. What You'll Do ... data entry, maintaining and updating the website customer FAQs, and testing customer support ...

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Remote Amazon Data Entry information

See Raleigh, NC salary details

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$18

$27

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

As of Aug 19, 2026, the average hourly pay for remote amazon data entry in Raleigh, NC is $18.93, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.25 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 Raleigh, NC?

The most popular types of Amazon Data Entry jobs in Raleigh, NC are:

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

The top searched job categories for Remote Amazon Data Entry jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Amazon Data Entry jobs?

Cities near Raleigh, NC with the most Remote Amazon Data Entry job openings:

Infographic showing various Remote Amazon Data Entry job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,374 per year, or $18.9 per hour.

$111K - $133K/yr

Full-time

Re-posted 12 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks


Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida.

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.


Responsibilities

The successful candidate will have experience working in large enterprise environments and partnering with cross-functional teams to deliver trusted data products that support strategic business objectives.

  • Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies.
  • Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities.
  • Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures.
  • Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
  • Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle.
  • Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products.
  • Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms.
  • Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms.
  • Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team.
  • Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity

Qualifications

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 10 years of experience in the same areas.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 10 years of experience in the same areas.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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