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Remote Google Data Entry Jobsexternal in Red Oak, TX (NOW HIRING)

RemX

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REMOTE Medical Customer Service Representatives $16/hr

Irving, TX · Remote

$16/hr

Using computer skills for data entry. * Operating according to the guidelines of the Federal Health Care Program. * Working with carriers to ensure coverage of medication on behalf of the patient.

Corvel

Data Verification Analyst

Dallas, TX · Remote

$13.38 - $23.42/hr

... bills, data entry, data verification and assisting with various phone and email tasks to support the bill review department. This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES:

Corvel

Data Verification Analyst

Dallas, TX · Remote

$13.38 - $23.42/hr

... bills, data entry, data verification and assisting with various phone and email tasks to support the bill review department. This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES:

Zirtual

Remote Virtual Executive Assistant

Dallas, TX · On-site +1

$1.5K - $3.8K/mo

Handle data entry, file organization, and record maintenance * Assist with project coordination and ... Google Workspace and/or Microsoft Office * Calendar management tools (Google Calendar, Outlook)

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Remote Google Data Entry information

See Red Oak, TX salary details

$10

$19

$28

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

As of Sep 8, 2026, the average hourly pay for remote google data entry in Red Oak, TX is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.63 per hour, depending on experience, location, and employer.

What is a remote Google data entry?

A Remote Google Data Entry job involves inputting, updating, and managing data within Google platforms such as Google Sheets, Google Docs, or Google Drive. Employees typically work from home and perform tasks like organizing information, verifying accuracy, and maintaining digital records. Strong attention to detail, basic computer skills, and familiarity with Google Workspace tools are essential. This role is often part-time or freelance, making it a flexible job option for those with good typing and organizational skills.

What does a remote Google data entry do?

As a Remote Google Data Entry specialist, your typical day will involve entering, updating, and verifying information within Google Sheets or other Google Workspace applications, ensuring that all data is accurate and up-to-date. You may also be responsible for organizing digital files, reviewing existing data for errors or inconsistencies, and collaborating with team members via email or project management tools. Attention to detail is particularly important as even small mistakes can impact larger business operations. Depending on the employer, you might work independently or as part of a remote team and may have regular check-ins or progress tracking to ensure goals are met.

What are the key skills and qualifications needed for a remote Google data entry?

To thrive as a Remote Google Data Entry professional, you must have excellent attention to detail, fast and accurate typing skills, and a solid understanding of data management principles. Familiarity with Google Workspace tools (such as Google Sheets, Docs, and Drive) is essential, and experience with basic database systems or data entry software may be beneficial. Strong time management, self-motivation, and clear communication skills set top performers apart in remote environments. These abilities are crucial for ensuring data accuracy, meeting deadlines, and effectively collaborating with distributed teams.

What are popular job titles related to Remote Google Data Entry jobs in Red Oak, TX?

For Remote Google Data Entry jobs in Red Oak, TX, the most frequently searched job titles are:

What cities near Red Oak, TX are hiring for Remote Google Data Entry jobs?

Cities near Red Oak, TX with the most Remote Google Data Entry job openings:

Remote Google Data Entry jobs near you
Infographic showing various Remote Google Data Entry job openings in Red Oak, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $40,104 per year, or $19.3 per hour.

Google Cloud Data Migration Lead

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 5 days ago

Job description

Position: Google Cloud Data Migration – Data Migration Team Lead

Location: Remote

Duration: Long term contract

Job Summary:

Seeking a Google Cloud data engineer to design, build, and maintain scalable and efficient data processing systems on the Google Cloud platform. This engineer will be responsible for the entire data lifecycle, from ingestion and storage to processing, transformation, and analysis. Their work will enable client organizations to make data-driven decisions by providing clean, high-quality data to business intelligence tools, AI systems, analysts and data scientists.

Key Responsibilities:

  • Serve as Data Migration team leader for a large data and application migration to the Google Cloud platform.
  • As Data Migration team leader, this individual will be responsible for our team’s endto-end data architecture and migration planning to support the migration effort as well as future-state client efforts on the Google Cloud platform.
  • As Data Migration team leader, this individual will collaborate closely with the overall Google Cloud migration team leadership, working to deliver a successful application and data migration.
  • Design and build data pipelines: Develop and maintain reliable and scalable batch and real-time data pipelines using GCP tools such as Cloud Dataflow (based on Apache Beam), Cloud Pub/Sub, and Cloud Composer (for Apache Airflow).
  • Create and manage data storage solutions: Implement data warehousing and data lake solutions using GCP products like BigQuery, Cloud Storage, and other transactional or NoSQL databases such as CloudSQL or Bigtable.
  • Ensure data quality and integrity: Develop and enforce procedures for data governance, quality control, and validation throughout the data pipeline to ensure data is accurate and reliable.
  • Optimize performance and cost: Monitor data infrastructure and pipelines to identify and resolve performance bottlenecks, ensuring that all data solutions are cost-effective and scalable.
  • Collaborate with other teams: Work closely with data scientists, analysts, and business stakeholders to gather requirements and understand data needs, translating them into technical specifications.
  • Automate and orchestrate workflows: Automate data processes and manage complex workflows using tools like Cloud Composer.
  • Implement security: Design and enforce data security and access controls using GCP Identity and Access Management (IAM) and other best practices.
  • Maintain documentation: Create and maintain clear documentation for data pipelines, architecture, and operational procedures.

Required Skills & Qualifications:

  • GCP Certified professional
  • 8+ years of data engineering experience developing large data pipelines in very complex environments
  • Very Strong SQL skills and ability to build very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
  • Very strong understanding of data migration methods and tooling, with hands-on experience in at least three (3) data migrations to Google Cloud

Google Cloud Platform: Hands-on experience with key GCP data services is essential, including:

  1. BigQuery: For data warehousing and analytics.
  2. Cloud Dataflow: For building and managing data pipelines.
  3. Cloud Storage: For storing large volumes of data.
  4. Cloud Composer: For orchestrating workflows.
  5. Cloud Pub/Sub: For real-time messaging and event ingestion.
  6. DataProc: For running Apache Spark and other open-source frameworks.
  • Programming languages: Strong proficiency in programming languages, most commonly Python, is mandatory. Experience with Java or Scala is also preferred.
  • SQL expertise: Advanced SQL skills for data analysis, transformation, and optimization within BigQuery and other databases.
  • ETL/ELT: Deep knowledge of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes.
  • Infrastructure as Code (IaC): Experience with tools like Terraform for deploying and managing cloud infrastructure.
  • CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) pipelines using tools such as GitHub Actions or Jenkins.
  • Data modeling: Understanding of data modeling, data warehousing, and data lake concepts