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Remote Scan Data Entry Jobs in Austin, TX (NOW HIRING)

Initio Capital

Automation Strategy Analyst

Austin, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

Initio Capital

Operations Research Analyst

Austin, TX · Remote

$97K - $115K/yr

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

Initio Capital

Revenue Strategy Analyst

Austin, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

Initio Capital

Automation Strategy Analyst

Austin, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

Initio Capital

Automation Strategy Analyst

Austin, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

Initio Capital

Automation Strategy Analyst

Austin, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

Initio Capital

Growth Operations Analyst

Austin, TX · Remote

$97K - $115K/yr

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

Initio Capital

Technical Product Analyst

Austin, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

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All JobsScan Data Entry JobsRemote Scan Data Entry JobsRemote Scan Data Entry Jobs in Austin, TX

Remote Scan Data Entry information

See Austin, TX salary details

$10

$19

$28

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

As of Aug 18, 2026, the average hourly pay for remote scan data entry in Austin, TX is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

What is a remote scan data entry?

A Remote Scan Data Entry job involves receiving scanned documents or images and accurately entering the data from these files into digital databases or spreadsheets, all while working from home or another remote location. Employees in this role must ensure the information is transcribed correctly and may also be responsible for reviewing and verifying data for accuracy. Strong attention to detail, computer literacy, and good organizational skills are essential. This job is often found in industries like healthcare, finance, and administration, where large volumes of physical documents need to be digitized.

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

To thrive as a Remote Scan Data Entry specialist, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with data entry software, document scanning equipment, and spreadsheet applications like Microsoft Excel is typically required. Time management, self-motivation, and reliability are crucial soft skills for managing workloads independently while maintaining accuracy. These skills ensure data integrity, timely processing, and efficient remote operations, which are critical for supporting business workflows.

What are some common challenges faced by professionals in remote scan data entry roles, and how can they be addressed?

In Remote Scan Data Entry positions, one common challenge is maintaining accuracy while processing large volumes of scanned documents, as misinterpretation or data entry errors can impact downstream workflows. Working independently can also make it harder to quickly resolve ambiguities in scanned documents, so clear communication channels with supervisors and colleagues are essential. To address these challenges, professionals should develop strong attention to detail, use standardized procedures for data verification, and leverage collaborative tools to seek clarification when needed. Regular breaks and an organized workspace can also help sustain focus and accuracy throughout the workday.

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

AspectRemote Scan Data EntryRemote Medical Data Entry
CredentialsBasic data entry skills, sometimes certification in data managementMedical terminology knowledge, certification in medical coding or health information
Work EnvironmentHome-based, using scanners and data entry softwareHome-based, often using specialized medical software and electronic health records
Industry UsageLogistics, retail, document processingHealthcare, hospitals, clinics
Search & Comparison IntentCommonly compared for remote data entry rolesMore specialized, healthcare-focused

Remote Scan Data Entry involves inputting data from scanned documents, often requiring basic data entry skills. Remote Medical Data Entry focuses on healthcare data, requiring medical terminology knowledge and certifications. While both are remote roles involving data input, the industry and required expertise differ significantly.

What cities near Austin, TX are hiring for Remote Scan Data Entry jobs?

Cities near Austin, TX with the most Remote Scan Data Entry job openings:

Remote Scan Data Entry jobs near you
Infographic showing various Remote Scan Data Entry job openings in Austin, TX as of June 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,148 per year, or $19.3 per hour.

Enterprise Database Architect

BizTech Fusion

Austin, TX • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Enterprise Database Architect

BizTech Fusion is hiring an Enterprise Database Architect

Experience: 15–18+ Years

Location: Texas — Remote within Texas ONLY

Employment Type: Contract / C2C

Interview: Video Interview

Work Authorization: Must be eligible to work in the U.S.

Position Overview

BizTech Fusion is looking for an experienced Enterprise Database Architect with strong expertise in Enterprise MDM and Data Catalog implementation. The ideal candidate will have a minimum of 7+ years of hands-on experience implementing MDM/Data Catalog solutions and will bridge enterprise data architecture, data engineering, governance, and AI consumption needs.

The Database Architect will implement an enterprise-wide Data Catalog/MDM solution covering both structured and unstructured data, and establish the semantic layer and data lineage required for AI/ML and Generative AI discovery and enablement.

The role will ensure that high-quality, well-documented, governed, and trusted data assets are available for analytics, machine learning, and generative AI use cases.

The successful candidate will also establish continuous processes to keep catalog/MDM solutions updated as data and systems change while maintaining data quality, consistency, lineage, classification, and governance.


Key Responsibilities

Enterprise Data Modeling, Semantics & AI Enablement

  • Develop conceptual, logical, and physical data models across multiple enterprise domains.
  • Map data transformations and integrations and drive clarity across systems.
  • Reverse-engineer legacy data structures to modernize, streamline, and rationalize system designs.
  • Use ER/Studio and model automation to establish enterprise modeling standards and support performance.
  • Govern design-to-implementation alignment with engineering teams.
  • Expand taxonomy and ontology usage across enterprise domains.
  • Apply semantic tagging to improve data discovery, trust, and reuse.
  • Align semantic attributes with lineage and data classification rules.
  • Design and support semantic/context layers for AI/ML and Generative AI use cases.

Data Governance, Metadata & Catalog Management

  • Implement and maintain enterprise Data Catalog and MDM solutions.
  • Maintain and enrich enterprise data dictionaries.
  • Automate metadata ingestion, scanning, and discovery processes.
  • Apply data lineage, classification, governance, and security standards.
  • Work with platforms such as Microsoft Purview, Collibra, Alation, or equivalent enterprise catalog solutions.
  • Connect Data Catalog platforms with BI and ETL/ELT pipelines.
  • Expand business glossary coverage in collaboration with data stewards.
  • Implement catalog APIs for programmatic queries, updates, and automation.
  • Train business and technical users on enterprise catalog practices.
  • Establish and monitor metadata quality KPIs.

Data Strategy & Readiness

  • Translate business requirements into structured data models and metadata deliverables.
  • Prioritize data modeling and governance activities with product owners and stakeholders.
  • Provide project status, risks, dependencies, and implementation updates.
  • Support business-led analytics and enterprise data stewardship activities.
  • Ensure enterprise data assets are prepared for analytics, AI/ML, and GenAI consumption.

Team Enablement & Knowledge Transfer

  • Facilitate enterprise data architecture and model reviews.
  • Maintain data architecture standards, templates, and documentation.
  • Support cross-enterprise data stewardship and governance routines.
  • Develop training materials and onboarding guides for business and technical users.
  • Provide knowledge transfer to engineering, governance, analytics, and business teams.

Required Qualifications

  • 15–18+ years of overall IT experience with significant enterprise data/database architecture experience.
  • 7+ years of hands-on Enterprise MDM and/or Data Catalog implementation experience — REQUIRED.
  • Strong experience as an Enterprise Database Architect, Data Architect, Data Modeler, or DBA.
  • Hands-on experience with Oracle and SQL Server RDBMS.
  • Expertise with enterprise Data Catalog/MDM platforms such as:
  • Microsoft Purview
  • Collibra
  • Alation
  • Other comparable enterprise catalog/MDM platforms
  • Experience with AI/ML technologies and semantic/context layer design and integration.
  • Strong understanding of enterprise data modeling, metadata management, and data architecture.
  • Experience with AWS and Azure cloud technologies.
  • Experience with cloud data platforms, including AWS Data Lake.
  • Strong understanding of data governance, classification, security, and stewardship.
  • Experience with data lineage, integration, and transformation technologies such as Informatica, Fivetran, or equivalent.
  • Experience designing APIs for metadata harvesting, automation, and event-driven integration.
  • Experience integrating enterprise data catalogs with data pipelines and BI platforms.
  • Experience with enterprise taxonomy, ontology, semantic tagging, and business glossaries.
  • Experience with GitHub.

Preferred Qualifications

  • Experience with vector databases.
  • Experience with feature stores.
  • Strong Python scripting experience for automation and data engineering.
  • Previous experience working with Texas state government agencies.
  • Experience enabling enterprise data for Generative AI, AI agents, machine learning, or other AI applications.

Candidate Requirements

  • Candidates must currently reside in Texas.
  • Valid Texas Driver License is required.
  • This is a remote position within Texas only.
  • Candidates outside Texas will not be considered.
  • Must be available for a video interview.


Core Skills

Enterprise Data Architecture | MDM | Data Catalog | Microsoft Purview | Collibra | Alation | Oracle | SQL Server | Data Modeling | ER/Studio | Data Governance | Metadata Management | Data Lineage | Data Classification | Data Quality | Semantic Layer | Ontology | Taxonomy | AI/ML | GenAI | AWS | Azure | AWS Data Lake | Informatica | Fivetran | API Design | Metadata Harvesting | Event-Driven Integration | Vector Databases | Feature Stores | Python | GitHub


Requirements:
None