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Entry Level Remote Data Modeler Jobs in Texas (NOW HIRING)

Junior Data Entry Clerk (Remote)

Dallas, TX · Remote

$16.75 - $22.50/hr

If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company. About Us: We believe that data is the lifeblood of modern business. Our mission is to ...

Remote Data Entry Clerk

Houston, TX · Remote

$16.25 - $21.75/hr

Remote Data Entry Clerk - Entry Level Are you a detail-oriented individual with a passion for accuracy and efficiency? Are you looking for a remote opportunity to kickstart your career in data entry?

We are looking to train people to become a manager of Remote Insurance Sales Representatives and ... Our business model uses a lead system that enables us to call on those who have requested ...

$23/hr

This internship supports the Data Science team and provides hands-on experience in data science ... Design and evaluate AI/ML solutions, including agentic workflows and foundation models, using cloud ...

New

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Statistical Modeling : Apply statistical methods and predictive modeling techniques to analyze data ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Reverse engineer data models from other vendors * Troubleshoot data quality issues and write ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

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Entry Level Remote Data Modeler information

What does an Entry Level Remote Data Modeler do?

An Entry Level Remote Data Modeler assists in designing, creating, and maintaining data models that organize and structure information for companies, typically while working from home. They work closely with data architects and analysts to translate business requirements into technical data structures, such as databases or data warehouses. Their tasks may include creating diagrams, documenting data flows, and ensuring data integrity. This role often requires proficiency in data modeling tools and a basic understanding of databases and data management concepts.

What are the typical challenges faced by entry-level remote data modelers, and how can they overcome them?

Entry-level remote data modelers often face challenges such as limited access to immediate mentorship, difficulty understanding complex data structures, and ensuring clear communication with distributed teams. To overcome these obstacles, it’s important to proactively seek feedback through regular virtual meetings, utilize collaboration platforms for documentation and model sharing, and participate in online forums or communities for peer support. Building a habit of clear, detailed documentation and asking clarifying questions early can also help navigate the learning curve and contribute effectively to team projects.

What are the key skills and qualifications needed to thrive as an Entry Level Remote Data Modeler, and why are they important?

To thrive as an Entry Level Remote Data Modeler, you need foundational knowledge in database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with tools like ER/Studio, Microsoft Visio, and SQL-based database systems is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are important because they ensure accurate data structure design, collaboration with remote teams, and successful implementation of data solutions.

What is the difference between Entry Level Remote Data Modeler vs Entry Level Remote Data Analyst?

AspectEntry Level Remote Data ModelerEntry Level Remote Data Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Required SkillsData modeling, SQL, database design, understanding of data architectureData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, often collaborating with data engineers and developersRemote, working with business teams and stakeholders
Common CertificationsNone required but beneficial: Microsoft Certified Data Analyst, IBM Data ScienceNone required but beneficial: Microsoft Certified Data Analyst, Google Data Analytics

While both roles are entry-level and often remote, data modelers focus on structuring and designing data systems, whereas data analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What cities in Texas are hiring for Entry Level Remote Data Modeler jobs? Cities in Texas with the most Entry Level Remote Data Modeler job openings:
Infographic showing various Entry Level Remote Data Modeler job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Junior Data Entry Clerk (Remote)

Only Data Entry

Dallas, TX • Remote

$16.75 - $22.50/hr

Full-time

Posted 4 days ago


Job description

CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR INSTRUCTIONS AFTER APPLYING

Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

About Us:

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.

Responsibilities:

  • Accurately input, update, and maintain large volumes of data into our database systems.
  • Verify and cross-reference data to ensure its accuracy and completeness.
  • Conduct data quality checks and resolve discrepancies in a timely manner.
  • Collaborate with other teams to gather and clarify data requirements.
  • Maintain data confidentiality and adhere to data security protocols.
  • Contribute to process improvement initiatives to enhance data entry efficiency.