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Full Time Data Collection Jobs in Denton, TX (NOW HIRING)

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Design data collection forms and pipelines for data extraction * Create and maintain optimal data ... Work Environment -In Office Job Type - Full Time Skills & Requirements Qualifications

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

Data Collection and Management: * Gather and organize large sets of structured and unstructured ... Job Types: Full-time Pay: From $23.50 - $30.50 per hour Schedule: Monday to Friday (8 hours daily ...

Enhancing data collection procedures to include information that is relevant for building analytic ... This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card Holder, TN ...

The ability to perform data collection, research and analysis on complex and varying datasets ... Full-time Benefits: * 401(k) * 401(k) matching * Dental insurance * Flexible spending account

The ability to perform data collection, research and analysis on complex and varying datasets ... Full-time Benefits: * 401(k) * 401(k) matching * Dental insurance * Flexible spending account

Admissions Coordinator F/T

Carrollton, TX · On-site

$18.50 - $25.25/hr

You will also assist with data collection, process automation, and general enrollment tasks such as student onboarding, financial aid, and class registration. This position requires technical ...

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Full Time Data Collection information

See Denton, TX salary details

$15

$23

$29

How much do full time data collection jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for full time data collection in Denton, TX is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $24.33 per hour, depending on experience, location, and employer.

What is a full time data collection?

A Full Time Data Collection job involves gathering, recording, and organizing data for research, business analysis, or operational purposes. Employees in this role may collect data through surveys, interviews, observations, or by using digital tools and databases. The position typically requires strong attention to detail, basic technical skills, and the ability to work independently or as part of a team. Full-time roles generally offer regular hours and may be based in various settings, such as offices, field locations, or remote environments.

What are the key skills and qualifications needed to thrive as a full time data collection specialist, and why are they important?

To thrive as a Full Time Data Collection Specialist, you need strong analytical skills, attention to detail, and a background in data management or a related field. Familiarity with data entry software, spreadsheets (like Microsoft Excel or Google Sheets), and sometimes specialized survey or database tools is typically required. Excellent organizational skills, reliability, and the ability to communicate findings clearly are valuable soft skills in this role. These skills ensure the accurate, efficient, and ethical collection and handling of data, which is crucial for informed decision-making and research integrity.

What are some common challenges faced in a full time data collection role, and how can they be managed?

In a full-time data collection role, professionals often encounter challenges such as ensuring data accuracy, managing large volumes of information, and adapting to evolving data sources or technologies. Maintaining consistency and attention to detail is crucial, especially when collecting data from diverse sources or in field environments. To manage these challenges, it's important to follow established data protocols, utilize reliable collection tools, and communicate regularly with team members to resolve discrepancies quickly. Collaboration and ongoing training also help keep skills sharp and ensure data quality remains high.

What is the difference between Full Time Data Collection vs Part Time Data Collection?

AspectFull Time Data CollectionPart Time Data Collection
Work HoursTypically 35-40 hours per weekFewer hours, often under 20 hours per week
Employment StatusFull-time employment with benefitsPart-time, usually no benefits
CredentialsOften requires similar certifications or trainingSame credentials as full-time, but less experience needed
Work EnvironmentConsistent, office or field-basedFlexible, may be remote or on-site

Full Time Data Collection involves working standard hours with benefits, while Part Time Data Collection offers flexible hours with fewer or no benefits. Both roles require similar skills and certifications, but differ mainly in hours and employment status.

What are the most commonly searched types of Data Collection jobs in Denton, TX?

The most popular types of Data Collection jobs in Denton, TX are:

What job categories do people searching Full Time Data Collection jobs in Denton, TX look for?

The top searched job categories for Full Time Data Collection jobs in Denton, TX are:

What cities near Denton, TX are hiring for Full Time Data Collection jobs?

Cities near Denton, TX with the most Full Time Data Collection job openings:

Infographic showing various Full Time Data Collection job openings in Denton, TX as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $49,356 per year, or $23.7 per hour.

Data Engineer

Dallas, TX • On-site

Iapetus Holdings LLC
Oil and Gas Extraction • 201 - 500 employees

$113K - $136K/yr

Full-time

Re-posted 20 days ago


Job description

Data Engineer
Who we are
Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ties our operating companies together and allows us to best serve our clients. We are a team of thinkers, problem solvers, and industry experts who collectively deliver the right solution for our clients.
Who you are
You appreciate the client relationship and understand that delivering an excellent experience to the client is critial to success. You enjoy problem solving and are able to think and react quickly; you have a keen eye for detail and are able to multi-task; and able to work collaboratively with multiple stakeholders. You are self-motiviated and able to work with little to no supervision; you practice good time management and you consistently take the intiative to get things done; and take action on matters before being asked by others or forced by event. You are naturally curious, malleable in your approach, and don't mind if every day looks a little different. You have appreciation for attention to detail, you're a team player and work towards achieving common goals for the client. You're honest and respectful in your communication style and when things goes astray, you understand that it's an opportunity to learn, take accountability and create a path forward.
Position Summary
The Data Engineer is responsible for expanding and optimizing our data collection and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing systems and building them from the ground up. The Data architect will support our database engineers, analysts and field supervisors on initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the needs of field operations, reporting and analyst teams. The right candidate will be excited by the prospect of optimizing and designing our company's data architecture to support our next generation of products and initiatives. This is an in-office role.
Responsibilities
  • Design data collection forms and pipelines for data extraction
  • Create and maintain optimal data pipeline architecture
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Fabric, and Azure big data technologies.
  • Keep our data separated and secure.
  • Create data tools for analysts that assist them in building and optimizing our product into an innovative industry leader.

Qualifications
  • Bachelor's degree in computer science or related degree or related experience required
  • Experience designing data collection forms in Fulcrum or similar survey software is preferred
  • Experience working with the utility industry preferred
  • Effective communication skills required
  • Proficient in using Microsoft Azure or other cloud data platform
  • Profiecient in Data engineering
  • Proficient in Python, JavaScript and SQL preferred
  • Experience developing apps and environments in Fulcrum strongly preferred
  • Experience in utility infrastructure or utility vegetation management preferred

This job description includes essential functions and basic duties and is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as appropriate. This document is not a contract of employment, and the Company reserves the right to change this job description and/or assign tasks for the employee to perform, as the Company may deem appropriate.
Work Environment -In Office
Job Type - Full Time
Skills & Requirements Qualifications