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Data Capturing Jobs in Texas (NOW HIRING)

CBRE Group, Inc.

Data Governance Manager

Dallas, TX · On-site

$90 - $130/hr

Act as custodian of the semantic and access decisions made during the AI design work, capturing ... Make sure the data consumed by AI agents, automation and analytics products is governed, trusted ...

PepsiCo

Data Product Manager

Plano, TX

$110K - $185K/yr

Capturing business requirements, data requirements and translating for technical teams * Leading cross functional teams (PODs) to deliver, via agile artifacts and ceremonies. * Being the voice of ...

New

PepsiCo

Data Product Manager

Plano, TX

$110K - $185K/yr

Capturing business requirements, data requirements and translating for technical teams * Leading cross functional teams (PODs) to deliver, via agile artifacts and ceremonies. * Being the voice of ...

New

SourceDay, Inc.

Data Integration Engineer

Austin, TX

$113K - $136K/yr

Take on big data challenges by applying your mastery of capturing, cleaning, storing, and securing the data you collect? * Take pride in your stewardship of the data you collect and the security ...

SourceDay, Inc.

Data Integration Engineer

Austin, TX · On-site

$113K - $136K/yr

Take on big data challenges by applying your mastery of capturing, cleaning, storing, and securing the data you collect? * Take pride in your stewardship of the data you collect and the security ...

Oncore Electric

Data Scientist Staff

Fort Worth, TX · On-site

$100K - $134K/yr

Consistently research new methods of capturing data. * Develop infrastructure to clean data and implement data scrubbing automation protocols. * Gathers, extracts, manipulate, analyze, curate, and ...

Oncore Electric

Data Scientist Staff

Fort Worth, TX · On-site

$100K - $134K/yr

Consistently research new methods of capturing data. * Develop infrastructure to clean data and implement data scrubbing automation protocols. * Gathers, extracts, manipulate, analyze, curate, and ...

DataBank

Data Center Technician 1

Houston, TX · On-site

... capturing Cap Labor on timesheet and ensuring timesheets are completed and submitted on time ... Experience with data center infrastructure such as generators, UPS, DC Plant, HVAC, Fire ...

DataBank

Data Center Technician 1

Dallas, TX · On-site

... capturing Cap Labor on timesheet and ensuring timesheets are completed and submitted on time ... Experience with data center infrastructure such as generators, UPS, DC Plant, HVAC, Fire ...

CBRE

Senior Data Governance Specialist

Dallas, TX · On-site

Partner with Data Owners, business stakeholders and Technology teams to promote effective ... Act as custodian of the semantic and access decisions made during the AI design work, capturing ...

DataBank

Data Center Technician 1

Red Oak, TX · On-site

... capturing Cap Labor on timesheet and ensuring timesheets are completed and submitted on time ... Experience with data center infrastructure such as generators, UPS, DC Plant, HVAC, Fire ...

DataBank

Data Center Technician 1

Houston, TX · On-site

... capturing Cap Labor on timesheet and ensuring timesheets are completed and submitted on time ... Experience with data center infrastructure such as generators, UPS, DC Plant, HVAC, Fire ...

DLRdmv

Data Specialist

Dallas, TX · On-site

Brainstorm the most efficient and accurate methods of capturing performance metrics * Spot the ... Data Analytics, vendor management support, or operations support (SaaS or automotive industry ...

DataBank

Data Center Technician 1

Plano, TX · On-site

... capturing Cap Labor on timesheet and ensuring timesheets are completed and submitted on time ... Experience with data center infrastructure such as generators, UPS, DC Plant, HVAC, Fire ...

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Showing results 21-40

All JobsData Capturing JobsData Capturing Jobs in Texas

Data Capturing information

What is data capturing?

Data capturing refers to the process of collecting and entering information into a computer system or database from various sources such as paper documents, digital forms, or images. This role often involves verifying the accuracy of the data, organizing it in a specific format, and ensuring that it is stored securely for easy retrieval. Data capturing is crucial for businesses and organizations as it helps maintain accurate records, supports decision-making, and streamlines operations. People in this job must have strong attention to detail, good typing skills, and sometimes familiarity with specialized software.

What are the key skills and qualifications needed to thrive as a data capturing professional?

To thrive as a Data Capturing professional, you need strong attention to detail, fast and accurate typing skills, and typically a high school diploma or equivalent. Familiarity with data entry software such as Microsoft Excel, Google Sheets, and database management systems is important, and basic computer literacy is essential. Excellent organizational skills, time management, and the ability to maintain confidentiality set top performers apart. These skills ensure data integrity, minimize errors, and support efficient business operations.

What are some common challenges faced by data capturing professionals and how can they be addressed?

Data capturing professionals often encounter challenges such as managing large volumes of information, ensuring accuracy, and meeting tight deadlines. To address these, it's important to develop strong organizational skills, pay close attention to detail, and use reliable data entry software. Collaborating with team members and regularly verifying data can also help minimize errors and maintain data quality.

What is the difference between Data Capturing vs Data Entry Clerk?

AspectData CapturingData Entry Clerk
Primary RoleCollecting and digitizing data from various sourcesInputting data into systems based on provided information
Skills & CertificationsBasic computer skills, attention to detail, sometimes OCR or scanning toolsTyping speed, accuracy, familiarity with data management software
Work EnvironmentFieldwork, scanning, digital data collectionOffice-based, computer-focused tasks
Industry UsageMarket research, survey data, digital data collectionAdministrative, clerical, database management

Data capturing involves collecting and digitizing data from various sources, often requiring fieldwork or specialized tools. In contrast, data entry clerks focus on inputting data into systems, typically within an office setting. While both roles require accuracy and computer skills, data capturing emphasizes data collection methods, whereas data entry emphasizes data input and management.

What is a data capturing job?

A data capturing job involves collecting, inputting, and managing data from various sources into digital systems or databases. It requires attention to detail, accuracy, and often the use of data entry tools or software. These roles are common in administrative, research, and data management environments.

What qualifications do you need to be a data capturing?

To work as a data capturing specialist, candidates typically need a high school diploma or equivalent, strong attention to detail, and proficiency with data entry tools such as spreadsheets or database software. Some roles may require basic knowledge of data management systems or certifications in data entry or office administration.

What are the most commonly searched types of Data Capturing jobs in Texas?

The most popular types of Data Capturing jobs in Texas are:

What are popular job titles related to Data Capturing jobs in Texas?

For Data Capturing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Capturing jobs in Texas look for?

The top searched job categories for Data Capturing jobs in Texas are:

Data Capturing jobs near you
Infographic showing various Data Capturing job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Governance Manager

CBRE Group, Inc.

Dallas, TX • On-site

$90 - $130/hr

Other

Posted 9 days ago

Job description

About The Role:

Trustworthy AI starts with trustworthy data. As CBRE builds AI agents across its People function, this role makes sure the data behind them, in one priority domain, is governed, well-defined and fit to rely on.

CBRE is running a significant People AI transformation to enable AI-powered experiences, automation and agentic workflows across the People function, starting with Talent Acquisition and People Services. This role represents People Data & Insights (PDI) within that program and keeps People data trusted, governed, documented and fit for purpose.

You serve as the designated Domain Data Steward for one of these priority domains. You coordinate and facilitate stewardship in partnership with the business Data Owners, who retain accountability for approving definitions and business rules, and you own the domain's semantic model: the entities, relationships and rules that describe its data. As the AI delivery teams and Digital and Technology (D&T) design the first agents, you embed in that design work and become the custodian of the semantic and access decisions they make, turning them into a durable, governed domain model that outlasts the design phase.

What You'll Do: Data stewardship and governance
  • Serve as the designated Domain Data Steward for your domain, and facilitate stewardship across it while the business Data Owners keep sign-off on definitions and business rules.
  • Partner with Data Owners, business stakeholders and Technology teams to promote effective stewardship of People data assets.
  • Support enterprise data governance standards, policies and controls, and make sure data assets meet security and compliance requirements.
  • Run stewardship activities through governance forums, working groups and stakeholder engagement.
Business definitions and semantic modeling
  • Develop and maintain the domain's business glossary, Critical Data Element inventory and metadata documentation.
  • Own the domain's semantic model, expressing its entities, relationships and business rules in the ontology and glossary, and keeping the logic used in reporting, analytics and AI traceable.
  • Act as custodian of the semantic and access decisions made during the AI design work, capturing them and turning them into a durable, governed domain model.
  • Specify the access and permission rules for the domain's data, and work to shared architecture principles so the domain model aligns with the other People domains rather than diverging.
AI and data readiness
  • Make sure the data consumed by AI agents, automation and analytics products is governed, trusted and documented.
  • Identify and manage AI-critical data assets, and help define the requirements for AI-approved datasets and certified business data products.
  • Partner with AI delivery teams so the data used in AI solutions is appropriately governed and traceable, in support of responsible AI practice.
Data quality and lineage
  • Support data quality monitoring and issue management, and coordinate the assessment and remediation of quality concerns that affect operations or AI.
  • Maintain visibility of data lineage across source systems and downstream consumption layers, and work with Technology teams to keep lineage and metadata current.
Stakeholder partnership
  • Represent People Data & Insights within strategic transformation initiatives.
  • Build strong partnerships with HR leaders, Technology teams, governance functions and business stakeholders.
  • Educate stakeholders on governance principles and stewardship responsibilities, and support adoption of data-driven decision-making and governance best practice.
Your domain
  • You will steward one of the priority People domains and know its processes, data and platform in depth:
  • Talent Acquisition: recruiting operations, requisitions, candidate lifecycle, sourcing and hiring, on Avature.
  • People Services: HR service delivery, employee lifecycle transactions, case management and knowledge management, on ServiceNow.
  • In either case: the definitions, rules and metrics that describe your domain, and the data it feeds to analytics, automation and AI.
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